default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPawan Goyal 0002
Person information
- affiliation: Indian Institute of Technology, Kharagpur, Department of Computer Science and Engineering, India
- affiliation (2011 - 2013): INRIA Paris-Rocquencourt, France
- affiliation (PhD 2011): University of Ulster, School of Computing and Intelligent Systems, UK
Other persons with the same name
- Pawan Goyal 0001 — IBM Almaden Research Center, San Jose, CA, USA (and 3 more)
- Pawan Goyal 0003
![[0000-0003-3072-7780]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3072-7780")
— Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany - Pawan Goyal 0004 — Massachusetts Institute of Technology, Cambridge, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c132]Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
Periodic Materials Generation using Text-Guided Joint Diffusion Model. ICLR 2025- [i119]Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
Periodic Materials Generation using Text-Guided Joint Diffusion Model. CoRR abs/2503.00522 (2025) - 2024
- [j24]Kalyani Roy, Pawan Goyal, Manish Pandey:
Exploring generative frameworks for product attribute value extraction. Expert Syst. Appl. 243: 122850 (2024) - [j23]Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly:
***FastDoc***: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy. Trans. Mach. Learn. Res. 2024 (2024) - [c131]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. ACL (1) 2024: 11460-11499 - [c130]Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku:
On The Persona-based Summarization of Domain-Specific Documents. ACL (Findings) 2024: 14291-14307 - [c129]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. ClinicalNLP@NAACL 2024: 283-291 - [c128]Akash Ghosh, Venkata Sahith Bathini, Niloy Ganguly, Pawan Goyal, Mayank Singh:
How Robust Are the QA Models for Hybrid Scientific Tabular Data? A Study Using Customized Dataset. LREC/COLING 2024: 8258-8264 - [c127]Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal:
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages. EMNLP 2024: 8458-8466 - [c126]Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Payal Arvind Kasat, Somak Aditya, Pawan Goyal:
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments. EMNLP 2024: 15594-15608 - [c125]Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Chaitanya, Pawan Goyal:
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents. EMNLP (Findings) 2024: 15664-15680 - [c124]Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, Ankit Raj, Pawan Goyal, Niloy Ganguly:
***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models. EMNLP 2024: 16878-16895 - [c123]Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly:
Order-Based Pre-training Strategies for Procedural Text Understanding. NAACL (Short Papers) 2024: 821-828 - [c122]Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. NAACL-HLT 2024: 7391-7403 - [c121]Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh:
Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods. SIGIR 2024: 2231-2240 - [c120]Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. SIGIR 2024: 2477-2481 - [i118]Ankan Mullick, Akash Ghosh, G. Sai Chaitanya, Samir Ghui, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction. CoRR abs/2401.09839 (2024) - [i117]Ankan Mullick, Ayan Kumar Bhowmick, R. Raghav, Ravi Kokku, Prasenjit Dey, Pawan Goyal, Niloy Ganguly:
Long Dialog Summarization: An Analysis. CoRR abs/2402.16986 (2024) - [i116]Akash Ghosh, B. Venkata Sahith, Niloy Ganguly, Pawan Goyal, Mayank Singh:
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset. CoRR abs/2404.00401 (2024) - [i115]Ankan Mullick, Mukur Gupta, Pawan Goyal:
Intent Detection and Entity Extraction from BioMedical Literature. CoRR abs/2404.03598 (2024) - [i114]Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly:
Order-Based Pre-training Strategies for Procedural Text Understanding. CoRR abs/2404.04676 (2024) - [i113]Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet:
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. CoRR abs/2404.17912 (2024) - [i112]Subhendu Khatuya, Koushiki Sinha, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Instruction-Guided Bullet Point Summarization of Long Financial Earnings Call Transcripts. CoRR abs/2405.06669 (2024) - [i111]Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh, Manjunath Hegde, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling. CoRR abs/2405.06671 (2024) - [i110]Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku:
On The Persona-based Summarization of Domain-Specific Documents. CoRR abs/2406.03986 (2024) - [i109]Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi:
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. CoRR abs/2407.05399 (2024) - [i108]Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar, Pawan Goyal:
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study. CoRR abs/2407.06538 (2024) - [i107]Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal:
Review-Feedback-Reason (ReFeR): A Novel Framework for NLG Evaluation and Reasoning. CoRR abs/2407.12877 (2024) - [i106]Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Aditya Vempaty, Pawan Goyal, Niloy Ganguly, Prasenjit Dey, Ravi Kokku:
Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization. CoRR abs/2408.02584 (2024) - [i105]Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, Ankit Raj, Pawan Goyal, Niloy Ganguly:
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models. CoRR abs/2409.13592 (2024) - [i104]Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Payal Arvind Kasat, Somak Aditya, Pawan Goyal:
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments. CoRR abs/2410.06420 (2024) - [i103]Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal:
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages. CoRR abs/2410.06944 (2024) - [i102]Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Chaitanya, Pawan Goyal:
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents. CoRR abs/2410.22476 (2024) - 2023
- [j22]Aniruddha Roy, Isha Sharma, Sudeshna Sarkar, Pawan Goyal:
Meta-ED: Cross-lingual Event Detection Using Meta-learning for Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 46:1-46:22 (2023) - [c119]Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. AAAI 2023: 7323-7331 - [c118]Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera, Tushar Sandhan, Pawan Goyal:
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes. ACL (demo) 2023: 103-112 - [c117]Soumya Sharma, Subhendu Khatuya, Manjunath Hegde, Afreen Shaikh, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
Financial Numeric Extreme Labelling: A dataset and benchmarking. ACL (Findings) 2023: 3550-3561 - [c116]Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal:
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. EACL (Findings) 2023: 1825-1836 - [c115]Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal:
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing. EACL 2023: 2156-2163 - [c114]Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul:
Legal IR and NLP: The History, Challenges, and State-of-the-Art. ECIR (3) 2023: 331-340 - [c113]Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. EMNLP (Findings) 2023: 4383-4407 - [c112]Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly:
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. EMNLP (Findings) 2023: 8793-8806 - [c111]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal:
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. EMNLP (Findings) 2023: 12065-12080 - [c110]Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala, Sriram Krishnan, Pavankumar Satuluri, Amba P. Kulkarni, Pawan Goyal:
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit. EMNLP (Findings) 2023: 13679-13692 - [c109]Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh:
Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law. ICAIL 2023: 187-196 - [c108]Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysMMNet: Multimodal Representation for Crystal Property Prediction. UAI 2023: 507-517 - [e1]Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar:
Big Data and Artificial Intelligence - 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings. Lecture Notes in Computer Science 14418, Springer 2023, ISBN 978-3-031-49600-4 [contents] - [i101]Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. CoRR abs/2301.05852 (2023) - [i100]Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera, Tushar Sandhan, Pawan Goyal:
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes. CoRR abs/2302.09527 (2023) - [i99]Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal:
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. CoRR abs/2302.09685 (2023) - [i98]Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal:
Frugal Prompting for Dialog Models. CoRR abs/2305.14919 (2023) - [i97]Soumya Sharma, Subhendu Khatuya, Manjunath Hegde, Afreen Shaikh, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging. CoRR abs/2306.03723 (2023) - [i96]Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal:
FinRED: A Dataset for Relation Extraction in Financial Domain. CoRR abs/2306.03736 (2023) - [i95]Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly:
FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata. CoRR abs/2306.06190 (2023) - [i94]Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysMMNet: Multimodal Representation for Crystal Property Prediction. CoRR abs/2307.05390 (2023) - [i93]Jivnesh Sandhan, Amruta Barbadikar, Malay Maity, Pavankumar Satuluri, Tushar Sandhan, Ravi M. Gupta, Pawan Goyal, Laxmidhar Behera:
Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka. CoRR abs/2308.07081 (2023) - [i92]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science. CoRR abs/2309.10811 (2023) - [i91]Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala, Sriram Krishnan, Pavankumar Satuluri, Amba P. Kulkarni, Pawan Goyal:
DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit. CoRR abs/2310.09501 (2023) - [i90]Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly:
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. CoRR abs/2310.14326 (2023) - [i89]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal:
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. CoRR abs/2310.15577 (2023) - [i88]Jatin Arora, Sumit Agrawal, Pawan Goyal, Sayan Pathak:
Extracting Entities of Interest from Comparative Product Reviews. CoRR abs/2310.20274 (2023) - 2022
- [j21]Krishnendu Ghosh, Sharmila Reddy Nangi, Yashasvi Kanchugantla, Pavan Gopal Rayapati, Plaban Kumar Bhowmick, Pawan Goyal:
Augmenting Video Lectures: Identifying Off-topic Concepts and Linking to Relevant Video Lecture Segments. Int. J. Artif. Intell. Educ. 32(2): 382-412 (2022) - [j20]Abhik Jana, Siddhant Haldar, Pawan Goyal:
Network embeddings from distributional thesauri for improving static word representations. Expert Syst. Appl. 187: 115868 (2022) - [c107]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents. AAAI 2022: 11139-11146 - [c106]Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar, Tushar Sandhan, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal:
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit. COLING 2022: 4071-4083 - [c105]Aniruddha Roy, Rupak Kumar Thakur, Isha Sharma, Ashim Gupta, Amrith Krishna, Sudeshna Sarkar, Pawan Goyal:
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages? COLING 2022: 4251-4257 - [c104]Jivnesh Sandhan, Rathin Singha, Narein Rao, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal:
TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer. EMNLP (Findings) 2022: 6902-6912 - [c103]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. EMNLP 2022: 10893-10906 - [c102]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Fast Few Shot Self-attentive Semi-supervised Political Inclination Prediction. ICADL 2022: 3-20 - [c101]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation. AACL/IJCNLP (Findings) 2022: 399-404 - [c100]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. AACL/IJCNLP (1) 2022: 1048-1064 - [c99]Rishabh Kumar, Devaraja Adiga, Rishav Ranjan, Amrith Krishna, Ganesh Ramakrishnan, Pawan Goyal, Preethi Jyothi:
Linguistically Informed Post-processing for ASR Error correction in Sanskrit. INTERSPEECH 2022: 2293-2297 - [c98]Ankan Mullick, Shubhraneel Pal, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
Using Sentence-level Classification Helps Entity Extraction from Material Science Literature. LREC 2022: 4540-4545 - [c97]Ankan Mullick, Sukannya Purkayastha, Pawan Goyal, Niloy Ganguly:
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection. NAACL-HLT (Findings) 2022: 282-292 - [c96]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. NAACL-HLT 2022: 1718-1734 - [c95]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. SocInfo 2022: 347-369 - [c94]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. WSDM 2022: 755-763 - [c93]Kalyani Roy, Avani Goel, Pawan Goyal:
Effectiveness of Data Augmentation to Identify Relevant Reviews for Product Question Answering. WWW (Companion Volume) 2022: 298-301 - [c92]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. WWW (Companion Volume) 2022: 576-578 - [c91]Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal:
FinRED: A Dataset for Relation Extraction in Financial Domain. WWW (Companion Volume) 2022: 595-597 - [i87]Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal:
Systematic Investigation of Strategies Tailored for Low-Resource Settings for Sanskrit Dependency Parsing. CoRR abs/2201.11374 (2022) - [i86]Jivnesh Sandhan, Ayush Daksh, Om Adideva Paranjay, Laxmidhar Behera, Pawan Goyal:
Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages. CoRR abs/2201.11391 (2022) - [i85]Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly:
A Generative Approach for Financial Causality Extraction. CoRR abs/2204.05674 (2022) - [i84]Debjoy Saha, Bishal Santra, Pawan Goyal:
A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems. CoRR abs/2204.08167 (2022) - [i83]Ankan Mullick, Sukannya Purkayastha, Pawan Goyal, Niloy Ganguly:
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection. CoRR abs/2205.02005 (2022) - [i82]Bishal Santra, Ravi Ghadia, Arpit Dwivedi, Manish Gupta, Pawan Goyal:
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models. CoRR abs/2205.10558 (2022) - [i81]Kalyani Roy, Tapas Nayak, Pawan Goyal:
Exploring Generative Models for Joint Attribute Value Extraction from Product Titles. CoRR abs/2208.07130 (2022) - [i80]Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar, Tushar Sandhan, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal:
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit. CoRR abs/2208.10310 (2022) - [i79]Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh:
Pre-training Transformers on Indian Legal Text. CoRR abs/2209.06049 (2022) - [i78]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction. CoRR abs/2209.10292 (2022) - [i77]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. CoRR abs/2210.07544 (2022) - [i76]Jivnesh Sandhan, Rathin Singha, Narein Rao, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal:
TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer. CoRR abs/2210.11753 (2022) - [i75]Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal:
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts. CoRR abs/2210.12467 (2022) - 2021
- [j19]Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey. Cogn. Comput. 13(5): 1215-1232 (2021) - [c90]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. AAAI 2021: 14867-14875 - [c89]Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal:
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. ACL/IJCNLP (Findings) 2021: 5039-5050 - [c88]Mayank Bhasin, Harshit, Pawan Goyal:
Which acts model happiness?: an exploratory analysis on Twitter and Goodreads. ASONAM 2021: 577-584 - [c87]Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal:
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. EACL (Student Research Workshop) 2021: 111-120 - [c86]Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal:
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild. ECIR (2) 2021: 92-106 - [c85]Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Joint Autoregressive and Graph Models for Software and Developer Social Networks. ECIR (1) 2021: 224-237 - [c84]Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly:
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. EMNLP (Findings) 2021: 4600-4609 - [c83]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. EMNLP (1) 2021: 9279-9291 - [c82]Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. HT 2021: 79-89 - [c81]Shruti Singh, Mayank Singh, Pawan Goyal:
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews. JCDL 2021: 238-241 - [c80]Bishal Santra, Potnuru Anusha, Pawan Goyal:
Hierarchical Transformer for Task Oriented Dialog Systems. NAACL-HLT 2021: 5649-5658 - [i74]Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Joint Autoregressive and Graph Models for Software and Developer Social Networks. CoRR abs/2101.08729 (2021) - [i73]Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal:
Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild. CoRR abs/2101.09449 (2021) - [i72]Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal:
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles. CoRR abs/2101.09743 (2021) - [i71]Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal:
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. CoRR abs/2102.06551 (2021) - [i70]Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria:
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey. CoRR abs/2103.16929 (2021) - [i69]Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal:
Evaluating Neural Word Embeddings for Sanskrit. CoRR abs/2104.00270 (2021) - [i68]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. CoRR abs/2105.00477 (2021) - [i67]Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal:
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights. CoRR abs/2106.05852 (2021) - [i66]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation. CoRR abs/2106.10862 (2021) - [i65]Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. CoRR abs/2108.00524 (2021) - [i64]Shruti Singh, Mayank Singh, Pawan Goyal:
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews. CoRR abs/2108.04366 (2021) - [i63]Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly:
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. CoRR abs/2109.05897 (2021) - [i62]Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal:
PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction. CoRR abs/2110.04794 (2021) - [i61]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. CoRR abs/2110.14183 (2021) - [i60]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. CoRR abs/2112.05787 (2021) - [i59]Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly:
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs. CoRR abs/2112.05798 (2021) - [i58]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents. CoRR abs/2112.14731 (2021) - 2020
- [j18]Amrith Krishna, Bishal Santra, Ashim Gupta, Pavankumar Satuluri, Pawan Goyal:
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit. Comput. Linguistics 46(4): 785-845 (2020) - [j17]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Network measures: A new paradigm towards reliable novel word sense detection. Inf. Process. Manag. 57(6): 102173 (2020) - [j16]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of reference and citation copying in evolving bibliographic networks. J. Informetrics 14(1): 101003 (2020) - [j15]Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee:
Hate begets Hate: A Temporal Study of Hate Speech. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 92:1-92:24 (2020) - [j14]Mithun Das, Binny Mathew, Punyajoy Saha, Pawan Goyal, Animesh Mukherjee:
Hate speech in online social media. SIGWEB Newsl. 2020(Autumn): 4:1-4:8 (2020) - [c79]Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need. COLING 2020: 1011-1022 - [c78]Binny Mathew, Navish Kumar, Pawan Goyal, Animesh Mukherjee:
Interaction dynamics between hate and counter users on Twitter. COMAD/CODS 2020: 116-124 - [c77]Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. COMAD/CODS 2020: 125-133 - [c76]Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. COMAD/CODS 2020: 239-243 - [c75]Amrith Krishna, Ashim Gupta, Deepak Garasangi, Pavankumar Satuluri, Pawan Goyal:
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit. EMNLP (1) 2020: 4791-4797 - [c74]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. ICON 2020: 287-296 - [c73]Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal:
Logic Constrained Pointer Networks for Interpretable Textual Similarity. IJCAI 2020: 2405-2411 - [c72]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Aspect-based Sentiment Analysis of Scientific Reviews. JCDL 2020: 207-216 - [c71]Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal:
Using Distributional Thesaurus Embedding for Co-hyponymy Detection. LREC 2020: 5766-5771 - [c70]Amrith Krishna, Shiv Vidhyut, Dilpreet Chawla, Sruti Sambhavi, Pawan Goyal:
SHR++: An Interface for Morpho-syntactic Annotation of Sanskrit Corpora. LREC 2020: 7069-7076 - [c69]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. SIGIR 2020: 1825-1828 - [c68]Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig:
Evaluating Neural Morphological Taggers for Sanskrit. SIGMORPHON 2020: 198-203 - [i57]Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal:
Using Distributional Thesaurus Embedding for Co-hyponymy Detection. CoRR abs/2002.11506 (2020) - [i56]Bishal Santra, Prakhar Sharma, Sumegh Roychowdhury, Pawan Goyal:
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion. CoRR abs/2004.05553 (2020) - [i55]Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal:
Neural Approaches for Data Driven Dependency Parsing in Sanskrit. CoRR abs/2004.08076 (2020) - [i54]Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig:
Evaluating Neural Morphological Taggers for Sanskrit. CoRR abs/2005.10893 (2020) - [i53]Kalyani Roy, Smit Shah, Nithish Pai, Jaidam Ramtej, Prajit Prashant Nadkarn, Jyotirmoy Banerjee, Pawan Goyal, Surender Kumar:
Using Large Pretrained Language Models for Answering User Queries from Product Specifications. CoRR abs/2005.14613 (2020) - [i52]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Aspect-based Sentiment Analysis of Scientific Reviews. CoRR abs/2006.03257 (2020) - [i51]Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. CoRR abs/2006.04660 (2020) - [i50]Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal:
Logic Constrained Pointer Networks for Interpretable Textual Similarity. CoRR abs/2007.07670 (2020) - [i49]Souradip Guha, Jatin Agrawal, Swetarekha Ram, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature. CoRR abs/2009.06819 (2020) - [i48]Bishal Santra, Potnuru Anusha, Pawan Goyal:
Hierarchical Transformer for Task Oriented Dialog Systems. CoRR abs/2011.08067 (2020) - [i47]Shivam Pal, Vipul Arora, Pawan Goyal:
Finding Prerequisite Relations between Concepts using Textbook. CoRR abs/2011.10337 (2020) - [i46]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. CoRR abs/2012.10289 (2020) - [i45]Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu:
Medical Entity Linking using Triplet Network. CoRR abs/2012.11164 (2020)
2010 – 2019
- 2019
- [j13]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Using Communities of Words Derived from Multilingual Word Vectors for Cross-Language Information Retrieval in Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(1): 1:1-1:27 (2019) - [j12]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. IEEE Trans. Comput. Soc. Syst. 6(5): 981-993 (2019) - [c67]Amrith Krishna, Vishnu Dutt Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal:
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages. ACL (1) 2019: 1160-1166 - [c66]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. ACL (1) 2019: 3263-3274 - [c65]Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal, Mahanandeeshwar Gattu:
Biomedical Relation Classification by single and multiple source domain adaptation. LOUHI@EMNLP 2019: 75-80 - [c64]Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai:
Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder. BIBE 2019: 547-552 - [c63]Ashim Gupta, Pawan Goyal, Sudeshna Sarkar, Mahanandeeshwar Gattu:
Fully Contextualized Biomedical NER. ECIR (2) 2019: 117-124 - [c62]Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee:
DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow. ECIR (2) 2019: 125-131 - [c61]Priyank Palod, Ayush Patwari, Sudhanshu Bahety, Saurabh Bagchi, Pawan Goyal:
Misleading Metadata Detection on YouTube. ECIR (2) 2019: 140-147 - [c60]Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Automated Early Leaderboard Generation from Comparative Tables. ECIR (1) 2019: 244-257 - [c59]Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal:
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 6091-6096 - [c58]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
HateMonitors: Language Agnostic Abuse Detection in Social Media. FIRE (Working Notes) 2019: 246-253 - [c57]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the Spread of Exaggerated Health News Content over Social Media. HT 2019: 279-280 - [c56]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields - Physics, Mathematics and Computer Science. ICADL 2019: 71-77 - [c55]Binny Mathew, Punyajoy Saha, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Thou Shalt Not Hate: Countering Online Hate Speech. ICWSM 2019: 369-380 - [c54]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Detecting reliable novel word senses: a network-centric approach. SAC 2019: 976-983 - [c53]Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Mohit Kumar, Pawan Goyal:
Addressing Vocabulary Gap in E-commerce Search. SIGIR 2019: 1073-1076 - [c52]Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Deep Dive into Anonymity: Large Scale Analysis of Quora Questions. SocInfo 2019: 35-49 - [c51]Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of Hate Speech in Online Social Media. WebSci 2019: 173-182 - [i44]Priyank Palod, Ayush Patwari, Sudhanshu Bahety, Saurabh Bagchi, Pawan Goyal:
Misleading Metadata Detection on YouTube. CoRR abs/1901.08759 (2019) - [i43]Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee:
DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow. CoRR abs/1903.03941 (2019) - [i42]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. CoRR abs/1906.03007 (2019) - [i41]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science. CoRR abs/1908.03793 (2019) - [i40]Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal:
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. CoRR abs/1909.00160 (2019) - [i39]Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. CoRR abs/1909.04367 (2019) - [i38]Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee:
Temporal effects of Unmoderated Hate speech in Gab. CoRR abs/1909.10966 (2019) - [i37]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
HateMonitors: Language Agnostic Abuse Detection in Social Media. CoRR abs/1909.12642 (2019) - [i36]Pratik Kayal, Mayank Singh, Pawan Goyal:
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. CoRR abs/1910.13425 (2019) - [i35]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks. CoRR abs/1912.11894 (2019) - 2018
- [j11]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. Proc. ACM Hum. Comput. Interact. 2(CSCW): 117:1-117:27 (2018) - [j10]Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Harnessing Twitter for Answering Opinion List Queries. IEEE Trans. Comput. Soc. Syst. 5(4): 1083-1095 (2018) - [j9]Koustav Rudra, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting and Summarizing Situational Information from the Twitter Social Media during Disasters. ACM Trans. Web 12(3): 17:1-17:35 (2018) - [c50]Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee:
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. COLING 2018: 379-389 - [c49]Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat, Pawan Goyal:
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit. CoNLL 2018: 345-355 - [c48]Anirban Majumder, Abhay Pande, Kondalarao Vonteru, Abhishek Gangwar, Subhadeep Maji, Pankaj Bhatia, Pawan Goyal:
Automated Assistance in E-commerce: An Approach Based on Category-Sensitive Retrieval. ECIR 2018: 604-610 - [c47]Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal:
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. EMNLP 2018: 2550-2561 - [c46]Ankan Mullick, Surjodoy Ghosh D, Shivam Maheshwari, Srotaswini Sahoo, Suman Kalyan Maity, Soumya C., Pawan Goyal:
Identifying Opinion and Fact Subcategories from the Social Web. GROUP 2018: 145-149 - [c45]Sandeep Kumar Pani, Naresh R., Pawan Goyal, Plaban Kumar Bhowmick:
Learning to Extract Comparison Points of Entity Pairs from Wikipedia Articles. JCDL 2018: 373-374 - [c44]Abhik Jana, Pawan Goyal:
Network Features Based Co-hyponymy Detection. LREC 2018 - [c43]Vikas Reddy, Amrith Krishna, Vishnu Dutt Sharma, Prateek Gupta, Vineeth M. R, Pawan Goyal:
Building a Word Segmenter for Sanskrit Overnight. LREC 2018 - [c42]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. NAACL-HLT (Demonstrations) 2018: 16-20 - [c41]Abhik Jana, Pawan Goyal:
Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation? NAACL-HLT 2018: 463-473 - [c40]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, Muhammad Imran:
Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. SIGIR 2018: 265-274 - [i34]Binny Mathew, Suman Kalyan Maity, Pratip Sarkar, Animesh Mukherjee, Pawan Goyal:
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. CoRR abs/1802.00231 (2018) - [i33]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables. CoRR abs/1802.04538 (2018) - [i32]Abhik Jana, Pawan Goyal:
Network Features Based Co-hyponymy Detection. CoRR abs/1802.04609 (2018) - [i31]Vikas Reddy, Amrith Krishna, Vishnu Dutt Sharma, Prateek Gupta, Vineeth M. R, Pawan Goyal:
Building a Word Segmenter for Sanskrit Overnight. CoRR abs/1802.06185 (2018) - [i30]Abhik Jana, Pawan Goyal:
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation? CoRR abs/1802.06196 (2018) - [i29]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. CoRR abs/1804.05514 (2018) - [i28]Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee:
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. CoRR abs/1806.04092 (2018) - [i27]Binny Mathew, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Thou shalt not hate: Countering Online Hate Speech. CoRR abs/1808.04409 (2018) - [i26]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. CoRR abs/1809.00289 (2018) - [i25]Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal:
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. CoRR abs/1809.01446 (2018) - [i24]Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat, Pawan Goyal:
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit. CoRR abs/1809.02147 (2018) - [i23]Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions. CoRR abs/1811.07223 (2018) - [i22]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the spread of exaggerated news content over social media. CoRR abs/1811.07853 (2018) - [i21]Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of hate speech in online social media. CoRR abs/1812.01693 (2018) - [i20]Binny Mathew, Navish Kumar, Ravina, Pawan Goyal, Animesh Mukherjee:
Analyzing the hate and counter speech accounts on Twitter. CoRR abs/1812.02712 (2018) - [i19]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Detecting Reliable Novel Word Senses: A Network-Centric Approach. CoRR abs/1812.05936 (2018) - [i18]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
Hateminers : Detecting Hate speech against Women. CoRR abs/1812.06700 (2018) - 2017
- [c39]Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Extracting Social Lists from Twitter. ASONAM 2017: 391-394 - [c38]Jatin Arora, Sumit Agrawal, Pawan Goyal, Sayan Pathak:
Extracting Entities of Interest from Comparative Product Reviews. CIKM 2017: 1975-1978 - [c37]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Detection of Sockpuppets in Social Media. CSCW Companion 2017: 243-246 - [c36]Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. WOSP@JCDL 2017: 1-8 - [c35]Abhik Jana, Sruthi Mooriyath, Animesh Mukherjee, Pawan Goyal:
WikiM: Metapaths Based Wikification of Scientific Abstracts. JCDL 2017: 21-30 - [c34]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. JCDL 2017: 59-68 - [c33]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation Sentence Reuse Behavior of Scientists: A Case Study on Massive Bibliographic Text Dataset of Computer Science. JCDL 2017: 277-280 - [c32]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. KDD 2017: 1077-1086 - [c31]Amrith Krishna, Pavan Kumar Satuluri, Pawan Goyal:
A Dataset for Sanskrit Word Segmentation. LaTeCH@ACL 2017: 105-114 - [c30]Binny Mathew, Suman Kalyan Maity, Pratip Sarkar, Animesh Mukherjee, Pawan Goyal:
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. TextGraphs@ACL 2017: 11-20 - [c29]Amrith Krishna, Pavankumar Satuluri, Harshavardhan Ponnada, Muneeb Ahmed, Gulab Arora, Kaustubh Hiware, Pawan Goyal:
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit. TextGraphs@ACL 2017: 66-75 - [c28]Krishnendu Ghosh, Plaban Kumar Bhowmick, Pawan Goyal:
Using re-ranking to boost deep learning based community question retrieval. WI 2017: 807-814 - [c27]Ankan Mullick, Shivam Maheshwari, Soumya C., Pawan Goyal, Niloy Ganguly:
A Generic Opinion-Fact Classifier with Application in Understanding Opinionatedness in Various News Section. WWW (Companion Volume) 2017: 827-828 - [i17]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science. CoRR abs/1705.02499 (2017) - [i16]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. CoRR abs/1705.03178 (2017) - [i15]Abhik Jana, Sruthi Mooriyath, Animesh Mukherjee, Pawan Goyal:
WikiM: Metapaths based Wikification of Scientific Abstracts. CoRR abs/1705.03264 (2017) - [i14]Sanyam Agarwal, Mayank Singh, Soham Dan, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. CoRR abs/1709.03064 (2017) - 2016
- [j8]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Using Word Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval. Computación y Sistemas 20(3): 435-447 (2016) - [j7]Pawan Goyal, Gérard P. Huet:
Design and analysis of a lean interface for Sanskrit corpus annotation. J. Lang. Model. 4(2): 145-182 (2016) - [j6]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. J. Informetrics 10(4): 1005-1022 (2016) - [c26]Arkanath Pathak, Pawan Goyal, Plaban Kumar Bhowmick:
A Two-Phase Approach Towards Identifying Argument Structure in Natural Language. NLP-TEA@COLING 2016: 11-19 - [c25]Abhishek Sikchi, Pawan Goyal, Samik Datta:
PEQ: An Explainable, Specification-based, Aspect-oriented Product Comparator for E-commerce. CIKM 2016: 2029-2032 - [c24]Ankan Mullick, Pawan Goyal, Niloy Ganguly:
A graphical framework to detect and categorize diverse opinions from online news. PEOPLES@COLING 2016: 40-49 - [c23]Amrith Krishna, Bishal Santra, Pavankumar Satuluri, Sasi Prasanth Bandaru, Bhumi Faldu, Yajuvendra Singh, Pawan Goyal:
Word Segmentation in Sanskrit Using Path Constrained Random Walks. COLING 2016: 494-504 - [c22]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. COLING 2016: 3390-3400 - [c21]Kalpana Raja, Naman Dasot, Pawan Goyal, Siddhartha R. Jonnalagadda:
Towards Evidence-Based Precision Medicine: Extracting Population Information from Biomedical Text using Binary Classifiers and Syntactic Patterns. CRI 2016 - [c20]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenario. HT 2016: 137-147 - [c19]Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee:
FeRoSA: A Faceted Recommendation System for Scientific Articles. PAKDD (2) 2016: 528-541 - [c18]Amrith Krishna, Pavankumar Satuluri, Shubham Sharma, Apurv Kumar, Pawan Goyal:
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play? WSSANLP@COLING 2016: 1-10 - [c17]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters. WSSANLP@COLING 2016: 152-162 - [i13]Tanmay Basu, Shraman Kumar, Abhishek Kalyan, Priyanka Jayaswal, Pawan Goyal, Stephen Pettifer, Siddhartha Jonnalagadda:
A Novel Framework to Expedite Systematic Reviews by Automatically Building Information Extraction Training Corpora. CoRR abs/1606.06424 (2016) - [i12]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. CoRR abs/1608.01101 (2016) - [i11]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval. CoRR abs/1608.01561 (2016) - [i10]Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee:
Which techniques does your application use?: An information extraction framework for scientific articles. CoRR abs/1608.06386 (2016) - [i9]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. CoRR abs/1609.06423 (2016) - [i8]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. CoRR abs/1609.08371 (2016) - [i7]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational and Topical Information During Crises. CoRR abs/1610.01561 (2016) - [i6]Arkanath Pathak, Pawan Goyal, Plaban Kumar Bhowmick:
A Two-Phase Approach Towards Identifying Argument Structure in Natural Language. CoRR abs/1612.05420 (2016) - 2015
- [j5]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer science. Commun. ACM 58(9): 82-90 (2015) - [j4]Sunny Mitra, Ritwik Mitra, Suman Kalyan Maity, Martin Riedl, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
An automatic approach to identify word sense changes in text media across timescales. Nat. Lang. Eng. 21(5): 773-798 (2015) - [c16]Koustav Rudra, Subham Ghosh, Niloy Ganguly, Pawan Goyal, Saptarshi Ghosh:
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach. CIKM 2015: 583-592 - [c15]Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset. CIKM 2015: 1271-1280 - [c14]Suman Kalyan Maity, Abhishek Gupta, Pawan Goyal, Animesh Mukherjee:
A Stratified Learning Approach for Predicting the Popularity of Twitter Idioms. ICWSM 2015: 642-645 - [c13]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
ConfAssist: A Conflict Resolution Framework for Assisting the Categorization of Computer Science Conferences. JCDL 2015: 257-258 - [c12]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. KDD 2015: 109-118 - [i5]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer sciences. CoRR abs/1503.06268 (2015) - [i4]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. CoRR abs/1505.04560 (2015) - [i3]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers. CoRR abs/1511.08310 (2015) - [i2]Amrith Krishna, Pawan Goyal:
Towards automating the generation of derivative nouns in Sanskrit by simulating Panini. CoRR abs/1512.05670 (2015) - 2014
- [c11]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. ACL (1) 2014: 1020-1029 - [c10]Pawan Goyal, Amba P. Kulkarni:
Converting Phrase Structures to Dependency Structures in Sanskrit. COLING 2014: 1834-1843 - [c9]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
Towards a stratified learning approach to predict future citation counts. JCDL 2014: 351-360 - [c8]Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal:
A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles. TextGraphs@EMNLP 2014: 25-33 - [i1]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. CoRR abs/1405.4392 (2014) - 2013
- [j3]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
A novel neighborhood based document smoothing model for information retrieval. Inf. Retr. 16(3): 391-425 (2013) - [j2]Pawan Goyal, Laxmidhar Behera, Thomas Martin McGinnity:
A Context-Based Word Indexing Model for Document Summarization. IEEE Trans. Knowl. Data Eng. 25(8): 1693-1705 (2013) - 2012
- [j1]Pawan Goyal, Laxmidhar Behera, Thomas Martin McGinnity:
Query Representation through Lexical Association for Information Retrieval. IEEE Trans. Knowl. Data Eng. 24(12): 2260-2273 (2012) - [c7]Pawan Goyal, Gérard P. Huet, Amba P. Kulkarni, Peter M. Scharf, Ralph Bunker:
A Distributed Platform for Sanskrit Processing. COLING 2012: 1011-1028 - 2011
- [b1]Pawan Goyal:
Analytic knowledge discovery techniques for ad-hoc information retrieval and automatic text summarization. Ulster University, UK, 2011
2000 – 2009
- 2009
- [c6]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
Entailment of Causal Queries in Narratives using Action Language. KDIR 2009: 112-118 - [c5]Pawan Goyal, R. Mahesh K. Sinha:
Translation Divergence in English-Sanskrit-Hindi Language Pairs. Sanskrit Computational Linguistics 2009: 134-143 - [c4]Pawan Goyal, Laxmidhar Behera, T. Martin McGinnity:
An Information Retrieval Model Based on Automatically Learnt Concept Hierarchies. ICSC 2009: 458-465 - 2008
- [c3]Pawan Goyal, Amba P. Kulkarni, Laxmidhar Behera:
Computer Simulation of Astadhyayi: Some Insights. Sanskrit Computational Linguistics 2008: 139-161 - [c2]Pawan Goyal, Vipul Arora, Laxmidhar Behera:
Analysis of Sanskrit Text: Parsing and Semantic Relations. Sanskrit Computational Linguistics 2008: 200-218 - [c1]Pawan Goyal, R. Mahesh K. Sinha:
A Study towards Design of an English to Sanskrit Machine Translation System. Sanskrit Computational Linguistics 2008: 287-305
Coauthor Index
[c132] [i119] [j23] [c130] [c128] [c124] [c123] [c122] [c120] [i117] [i116] [i114] [i112] [i111] [i110] [i106] [i105] [c119] [c117] [c112] [c108] [i101] [i97] [i96] [i95] [i94] [i90] [c103] [c97] [c94] [c92] [c91] [i85] [i83] [i75] [c84] [i72] [i63] [i59] [c69] [i51] [j12] [c59] [i40] [j10] [j9] [c40] [c39] [c27] [c24] [c20] [c19] [i7] [j5] [c16] [i5] [c9] [c8]
[i92] [c102] [c95] [i78] [c90] [c85] [c82] [i74] [i65] [i61] [j17] [j16] [j15] [j14] [c78] [c77] [c72] [i52] [i46] [c66] [c62] [c60] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [i43] [i42] [i41] [i39] [i38] [i37] [i35] [j11] [c50] [c42] [i34] [i33] [i29] [i28] [i27] [i26] [i23] [i22] [i21] [i20] [i19] [i18] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [i17] [i16] [i15] [i14] [j6] [c22] [c19] [i12] [i10] [i9] [i8] [j5] [j4] [c15] [c14] [c13] [c12] [i5] [i4] [i3] [c11] [c9] [i1]
Pavankumar Satuluri
aka: Pavan Kumar Satuluri
aka: Pavan Kumar Satuluri
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-17 00:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
