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ORCIDTanmoy Chakraborty 0002
Person information
- affiliation: Indian Institute of Technology Delhi, India (IIT Delhi)
- affiliation (former): Indraprastha Institute of Information Technology Delhi (IIIT-D), India
- affiliation (former): University of Maryland, College Park, MD, USA
- affiliation (former): Indian Institute of Technology Kharagpur, Jadavpur University
Other persons with the same name
- Tanmoy Chakraborty 0001 — Harvard University
- Tanmoy Chakraborty 0003 — West Bengal University of Technology, Kolkata, India
- Tanmoy Chakraborty 0004
![[0000-0002-3374-8125]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3374-8125")
— Manipal University Jaipur, Rajasthan, India - Tanmoy Chakraborty 0005 — Techno Main Salt Lake, Department of Computer Science and Engineering, Kolkata, India
- Tanmoy Chakraborty 0006 — Indian Institute of Science Education and Research (IISER) Kolkata, India
- Tanmoy Chakraborty 0007 — Sharda University, Department of Chemistry and Biochemistry, India
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2020 – today
- 2023
[j55]Aman Roy, Shravika Mittal, Tanmoy Chakraborty:
MG2Vec+: A multi-headed graph attention network for multigraph embedding. Knowl. Inf. Syst. 65(1): 111-132 (2023)- [j54]Dhruv Sehnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty:
DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks. ACM Trans. Knowl. Discov. Data 17(4): 47:1-47:33 (2023) - [j53]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery. IEEE Trans. Knowl. Data Eng. 35(1): 824-829 (2023) - [j52]Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty:
QUINT: Node Embedding Using Network Hashing. IEEE Trans. Knowl. Data Eng. 35(3): 2987-3000 (2023) - [j51]Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty:
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals. IEEE Trans. Knowl. Data Eng. 35(6): 5991-6002 (2023) - [c125]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023: 2141-2155 - [c124]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. WWW 2023: 1118-1129 - [i122]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023) - [i121]Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty:
Node Injection for Class-specific Network Poisoning. CoRR abs/2301.12277 (2023) - [i120]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. CoRR abs/2301.12729 (2023) - [i119]Vasu Goel, Dhruv Sahnan, Subhabrata Dutta, Anil Bandhakavi, Tanmoy Chakraborty:
Hatemongers ride on echo chambers to escalate hate speech diffusion. CoRR abs/2302.02479 (2023) - [i118]Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty:
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation. CoRR abs/2303.00344 (2023) - [i117]Md. Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty:
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection. CoRR abs/2303.02513 (2023) - [i116]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker Profiling in Multiparty Conversations. CoRR abs/2304.08801 (2023) - [i115]Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. CoRR abs/2304.13958 (2023) - [i114]Eshaan Tanwar, Manish Borthakur, Subhabrata Dutta, Tanmoy Chakraborty:
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment. CoRR abs/2305.05940 (2023) - 2022
- [j50]Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty:
Changing Landscape of Technical Education Pedagogy From Traditional to Practical e-Learning. Computer 55(11): 16-28 (2022) - [j49]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Md. Shad Akhtar, Tanmoy Chakraborty:
Does aggression lead to hate? Detecting and reasoning offensive traits in hinglish code-mixed texts. Neurocomputing 488: 598-617 (2022) - [j48]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu:
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing 500: 241-242 (2022) - [j47]Dhananjay Kumar Singh, Subrata Nandi, Tanmoy Chakraborty, Prasenjit Choudhury:
Disintegrating constant communities in complex networks. J. Comput. Sci. 61: 101634 (2022) - [j46]Shivani Kumar, Anubhav Shrimal, Md. Shad Akhtar, Tanmoy Chakraborty:
Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer. Knowl. Based Syst. 240: 108112 (2022) - [j45]Tanmoy Chakraborty, Sarah Masud:
Nipping in the bud: detection, diffusion and mitigation of hate speech on social media. SIGWEB Newsl. 2022(Winter): 3:1-3:9 (2022) - [c123]Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. AAAI 2022: 10563-10571 - [c122]Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal:
FACTIFY: A Multi-Modal Fact Verification Dataset. DE-FACTIFY@AAAI 2022 - [c121]Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Benchmarking Multi-Modal Entailment for Fact Verification (short paper). DE-FACTIFY@AAAI 2022 - [c120]Parth Patwa, Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c119]Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c118]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. ACL (1) 2022: 5956-5968 - [c117]Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty:
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? ACL (1) 2022: 7774-7786 - [c116]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643 - [c115]Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty:
Why Did You Not Compare with That? Identifying Papers for Use as Baselines. ECIR (1) 2022: 51-64 - [c114]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. EMNLP 2022: 7701-7715 - [c113]Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery (Extended abstract). ICDE 2022: 1483-1484 - [c112]Hridoy Sankar Dutta, Nirav Diwan, Tanmoy Chakraborty:
Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network. ICWSM 2022: 147-158 - [c111]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. ICWSM 2022: 640-650 - [c110]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [c109]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. AACL/IJCNLP (1) 2022: 792-805 - [c108]Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. KDD 2022: 3524-3534 - [c107]Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering. KDD 2022: 3920-3930 - [c106]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588 - [c105]Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty:
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification. NeurIPS 2022 - [c104]Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty:
BaDumTss: Multi-task Learning for Beatbox Transcription. PAKDD (3) 2022: 173-186 - [c103]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinglish News Delivery. PAKDD (1) 2022: 574-586 - [c102]Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. WSDM 2022: 241-251 - [c101]Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. WSDM 2022: 735-745 - [c100]Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631 - [i113]Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty:
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision. CoRR abs/2201.00614 (2022) - [i112]Tanmoy Chakraborty, Sarah Masud:
Nipping in the Bud: Detection, Diffusion and Mitigation of Hate Speech on Social Media. CoRR abs/2201.00961 (2022) - [i111]Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty:
Why Did You Not Compare With That? Identifying Papers for Use as Baselines. CoRR abs/2201.08089 (2022) - [i110]Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty:
Handling Bias in Toxic Speech Detection: A Survey. CoRR abs/2202.00126 (2022) - [i109]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. CoRR abs/2203.06419 (2022) - [i108]Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit P. Sheth:
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. CoRR abs/2203.11856 (2022) - [i107]Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty:
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? CoRR abs/2203.12881 (2022) - [i106]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinghlish News Delivery. CoRR abs/2204.02155 (2022) - [i105]Ayan Sengupta, Tharun Suresh, Md. Shad Akhtar, Tanmoy Chakraborty:
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer. CoRR abs/2204.12753 (2022) - [i104]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i103]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022) - [i102]Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering. CoRR abs/2206.03886 (2022) - [i101]Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. CoRR abs/2206.04007 (2022) - [i100]Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty:
Predicting Hate Intensity of Twitter Conversation Threads. CoRR abs/2206.08406 (2022) - [i99]Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty:
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification. CoRR abs/2209.13017 (2022) - [i98]Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty:
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. CoRR abs/2209.14667 (2022) - [i97]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. CoRR abs/2210.04710 (2022) - [i96]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. CoRR abs/2211.11049 (2022) - [i95]Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022) - 2021
- [b1]Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G:
Data Science for Fake News - Surveys and Perspectives. The Information Retrieval Series 42, Springer 2021, ISBN 978-3-030-62695-2, pp. 1-302 - [j44]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection. Appl. Soft Comput. 107: 107393 (2021) - [j43]Tanmoy Chakraborty, Sumit Bhatia, Cornelia Caragea:
Special section on mining knowledge from scientific data. Expert Syst. J. Knowl. Eng. 38(4) (2021) - [j42]Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, Tanmoy Chakraborty:
InPHYNet: Leveraging attention-based multitask recurrent networks for multi-label physics text classification. Knowl. Based Syst. 211: 106487 (2021) - [j41]Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty:
See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization. Knowl. Based Syst. 227: 107152 (2021) - [j40]Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty:
Hide and Seek: Outwitting Community Detection Algorithms. IEEE Trans. Comput. Soc. Syst. 8(4): 799-808 (2021) - [j39]Suraj Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Syntactically Coherent Text Augmentation for Sequence Classification. IEEE Trans. Comput. Soc. Syst. 8(6): 1323-1332 (2021) - [j38]Hridoy Sankar Dutta, Tanmoy Chakraborty:
Blackmarket-Driven Collusion on Online Media: A Survey. Trans. Data Sci. 2(4): 43:1-43:37 (2021) - [j37]Tanmoy Chakraborty, Sushil Jajodia, Jonathan Katz, Antonio Picariello, Giancarlo Sperlì, V. S. Subrahmanian:
A Fake Online Repository Generation Engine for Cyber Deception. IEEE Trans. Dependable Secur. Comput. 18(2): 518-533 (2021) - [j36]Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty:
Detecting and Analyzing Collusive Entities on YouTube. ACM Trans. Intell. Syst. Technol. 12(5): 64:1-64:28 (2021) - [c99]Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Fighting an Infodemic: COVID-19 Fake News Dataset. CONSTRAINT@AAAI 2021: 21-29 - [c98]Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. CONSTRAINT@AAAI 2021: 42-53 - [c97]Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach (Student Abstract). AAAI 2021: 15887-15888 - [c96]Siddharth Yadav, Tanmoy Chakraborty:
Zera-Shot Sentiment Analysis for Code-Mixed Data. AAAI 2021: 15941-15942 - [c95]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796 - [c94]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar:
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. ACL/IJCNLP (Findings) 2021: 4625-4639 - [c93]Nirav Diwan, Tanmoy Chakraborty, Zubair Shafiq:
Fingerprinting Fine-tuned Language Models in the Wild. ACL/IJCNLP (Findings) 2021: 4652-4664 - [c92]Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty:
Assessing the quality of the datasets by identifying mislabeled samples. ASONAM 2021: 18-22 - [c91]Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. CIKM 2021: 1764-1773 - [c90]Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. EACL 2021: 3178-3188 - [c89]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455 - [c88]Hridoy Sankar Dutta, Kartik Aggarwal, Tanmoy Chakraborty:
DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter. HT 2021: 91-100 - [c87]Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty:
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter. ICDE 2021: 504-515 - [c86]Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty:
Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains. ICDM 2021: 549-558 - [c85]Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty:
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. ICWSM 2021: 513-524 - [c84]Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty:
An Embedding-based Joint Sentiment-Topic Model for Short Texts. ICWSM 2021: 633-643 - [c83]Hridoy Sankar Dutta, Udit Arora, Tanmoy Chakraborty:
ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities. ICWSM 2021: 1000-1008 - [c82]Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty:
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD 2021: 2732-2742 - [c81]Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty:
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems. NeurIPS 2021: 5531-5544 - [c80]Viresh Gupta, Tanmoy Chakraborty:
VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning. PAKDD (3) 2021: 103-115 - [c79]Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets. PAKDD (1) 2021: 188-200 - [c78]Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty:
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) 2021: 36-51 - [p1]Tanmoy Chakraborty, Annu Joshi, Partha Sarathi Paul, Sumit Bhatia:
Wider, or Deeper! On Predicting Future of Scientific Articles by Influence Dispersion Tree. Predicting the Dynamics of Research Impact 2021: 151-176 - [e7]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md. Shad Akhtar:
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers. Communications in Computer and Information Science 1402, Springer 2021, ISBN 978-3-030-73695-8 [contents] - [e6]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - [e5]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8 [contents] - [e4]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9 [contents] - [e3]Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12714, Springer 2021, ISBN 978-3-030-75767-0 [contents] - [i94]Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. CoRR abs/2101.11891 (2021) - [i93]Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath:
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. CoRR abs/2102.00509 (2021) - [i92]Viresh Gupta, Tanmoy Chakraborty:
Adversarial Attack on Network Embeddings via Supervised Network Poisoning. CoRR abs/2102.07164 (2021) - [i91]William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty:
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection. CoRR abs/2102.08924 (2021) - [i90]Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty:
Hide and Seek: Outwitting Community Detection Algorithms. CoRR abs/2102.10759 (2021) - [i89]Shivani Kumar, Anubhav Shrimal, Md. Shad Akhtar, Tanmoy Chakraborty:
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer. CoRR abs/2103.12360 (2021) - [i88]Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty:
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. CoRR abs/2103.12377 (2021) - [i87]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i86]Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty:
An Embedding-based Joint Sentiment-Topic Model for Short Texts. CoRR abs/2103.14410 (2021) - [i85]