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ORCIDAnkan Mullick
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2020 – today
- 2024
[c18]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- [c17]Ankan Mullick, Mukur Gupta:
Avenues in IoT with advances in Artificial Intelligence. PerCom Workshops 2024: 314-319 - [i16]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) - [i15]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) - [i14]Ankan Mullick, Mukur Gupta, Pawan Goyal:
Intent Detection and Entity Extraction from BioMedical Literature. CoRR abs/2404.03598 (2024) - [i13]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) - [i12]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) - 2023
- [c16]Ankan Mullick:
Novel Intent Detection and Active Learning Based Classification (Student Abstract). AAAI 2023: 16286-16287 - [c15]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 - [c14]Ankan Mullick:
Exploring Multilingual Intent Dynamics and Applications. IJCAI 2023: 7087-7088 - [i11]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) - [i10]Ankan Mullick:
Novel Intent Detection and Active Learning Based Classification (Student Abstract). CoRR abs/2304.11058 (2023) - 2022
- [c13]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav:
Fine-grained Intent Classification in the Legal Domain. SDU@AAAI 2022 - [c12]Harshita Boonlia, Tanmoy Dam
, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. ICIP 2022: 3036-3040 - [c11]Omprakash Sonie, Abir Chakraborty, Ankan Mullick:
concept2code: Deep Reinforcement Learning for Conversational AI. KDD 2022: 4826-4827 - [c10]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 - [c9]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar:
An Evaluation Framework for Legal Document Summarization. LREC 2022: 4747-4753 - [c8]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 - [i9]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) - [i8]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav:
Fine-grained Intent Classification in the Legal Domain. CoRR abs/2205.03509 (2022) - [i7]Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar:
An Evaluation Framework for Legal Document Summarization. CoRR abs/2205.08478 (2022) - [i6]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier. CoRR abs/2209.02881 (2022) - 2021
- [i5]Kiran Purohit, Owais Iqbal, Ankan Mullick:
Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation. CoRR abs/2105.11412 (2021) - [i4]Ankan Mullick, Animesh Bera, Tapas Nayak:
RTE: A Tool for Annotating Relation Triplets from Text. CoRR abs/2108.08184 (2021)
2010 – 2019
- 2019
- [c7]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. ECIR (2) 2019: 180-187 - [i3]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. CoRR abs/1902.07946 (2019) - 2018
- [j1]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) - [c6]Suman Kalyan Maity, Ayush Kumar, Ankan Mullick, Vishnu Choudhary, Animesh Mukherjee:
Understanding Book Popularity on Goodreads. GROUP 2018: 117-121 - [c5]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 - [c4]Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh, Anil Kumar, Sunny Dhamnani, Sudhanshu Bahety, Animesh Mukherjee:
Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media. ISCC 2018: 1096-1101 - [i2]Suman Kalyan Maity, Ayush Kumar, Ankan Mullick, Vishnu Choudhary, Animesh Mukherjee:
Understanding Book Popularity on Goodreads. CoRR abs/1802.05057 (2018) - [i1]Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh, Anil Kumar, Sunny Dhamnani, Sudhanshu Bahety, Animesh Mukherjee:
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media. CoRR abs/1805.10774 (2018) - 2017
- [c3]Ankan Mullick, Pawan Goyal, Niloy Ganguly, Manish Gupta:
Extracting Social Lists from Twitter. ASONAM 2017: 391-394 - [c2]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 - 2016
- [c1]Ankan Mullick, Pawan Goyal, Niloy Ganguly:
A graphical framework to detect and categorize diverse opinions from online news. PEOPLES@COLING 2016: 40-49
Coauthor Index
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