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2020 – today
- 2024
[j15]Shivam Sharma
, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. IEEE Trans. Affect. Comput. 15(3): 1800-1811 (2024)- [j14]Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion Flip Reasoning in Multiparty Conversations. IEEE Trans. Artif. Intell. 5(3): 1339-1348 (2024) - [j13]Mohit Bhardwaj, Megha Sundriyal, Manjot Bedi, Md. Shad Akhtar, Tanmoy Chakraborty:
HostileNet: Multilabel Hostile Post Detection in Hindi. IEEE Trans. Comput. Soc. Syst. 11(2): 1842-1852 (2024) - [j12]Tharun Suresh, Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer. IEEE Trans. Comput. Soc. Syst. 11(3): 4139-4148 (2024) - [c66]Neemesh Yadav, Sarah Masud, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. ACL (Findings) 2024: 13967-13983 - [c65]Gauri Naik, Sharad Chandakacherla, Shweta Yadav, Md. Shad Akhtar:
No perspective, no perception!! Perspective-aware Healthcare Answer Summarization. ACL (Findings) 2024: 15919-15932 - [c64]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. LREC/COLING 2024: 415-425 - [c63]Joykirat Singh, Sehban Fazili, Rohan Jain, Md. Shad Akhtar:
EROS: Entity-Driven Controlled Policy Document Summarization. LREC/COLING 2024: 6236-6246 - [c62]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. LREC/COLING 2024: 15480-15492 - [c61]Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. EACL (Findings) 2024: 826-845 - [c60]Ayan Sengupta, Shantanu Dixit, Md. Shad Akhtar, Tanmoy Chakraborty:
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation. ICLR 2024 - [c59]Amey Hengle, Aswini Padhi, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty:
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF. NAACL-HLT 2024: 6716-6733 - [c58]Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty:
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). SemEval@NAACL 2024: 1933-1946 - [i51]Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. CoRR abs/2402.02144 (2024) - [i50]Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty:
SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF). CoRR abs/2402.18944 (2024) - [i49]Joykirat Singh, Sehban Fazili, Rohan Jain, Md. Shad Akhtar:
EROS: Entity-Driven Controlled Policy Document Summarization. CoRR abs/2403.00141 (2024) - [i48]Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakroborty:
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF. CoRR abs/2403.10088 (2024) - [i47]Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion-Aware Multimodal Fusion for Meme Emotion Detection. CoRR abs/2403.10279 (2024) - [i46]Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar:
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. CoRR abs/2403.16771 (2024) - [i45]Neemesh Yadav, Sarah Masud, Vikram Goyal, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. CoRR abs/2406.03953 (2024) - [i44]Gauri Naik, Sharad Chandakacherla, Shweta Yadav, Md. Shad Akhtar:
No perspective, no perception!! Perspective-aware Healthcare Answer Summarization. CoRR abs/2406.08881 (2024) - [i43]Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty, Md. Shad Akhtar:
Crowd Intelligence for Early Misinformation Prediction on Social Media. CoRR abs/2408.04463 (2024) - [i42]Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md. Shad Akhtar:
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization. CoRR abs/2409.14907 (2024) - 2023
- [j11]Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty:
Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations. IEEE Trans. Affect. Comput. 14(2): 1363-1375 (2023) - [c57]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. AAAI 2023: 9763-9771 - [c56]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. AAAI 2023: 12986-12994 - [c55]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. ACL (1) 2023: 5272-5290 - [c54]Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar:
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. ACL (1) 2023: 5792-5809 - [c53]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 - [c52]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding. EMNLP (Findings) 2023: 3533-3549 - [c51]Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. EMNLP 2023: 9638-9652 - [c50]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. FIRE 2023: 7-9 - [c49]Shrey Satapara, Sarah Masud, Hiren Madhu, Md. Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty, Sandip Modha, Thomas Mandl:
Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech. FIRE 2023: 10-12 - [c48]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. FIRE (Working Notes) 2023: 147-158 - [c47]Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. FIRE (Working Notes) 2023: 360-367 - [c46]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. WWW 2023: 1118-1129 - [i41]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) - [i40]Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. CoRR abs/2301.12729 (2023) - [i39]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker Profiling in Multiparty Conversations. CoRR abs/2304.08801 (2023) - [i38]Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar:
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. CoRR abs/2305.13776 (2023) - [i37]Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty:
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. CoRR abs/2305.15913 (2023) - [i36]Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty:
Emotion Flip Reasoning in Multiparty Conversations. CoRR abs/2306.13959 (2023) - [i35]Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty:
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities. CoRR abs/2309.01618 (2023) - [i34]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Persona-aware Generative Model for Code-mixed Language. CoRR abs/2309.02915 (2023) - [i33]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking. CoRR abs/2309.09274 (2023) - [i32]Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty:
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. CoRR abs/2310.13080 (2023) - [i31]Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding. CoRR abs/2310.14206 (2023) - [i30]Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans. CoRR abs/2310.19267 (2023) - [i29]Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty:
Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection. CoRR abs/2311.09834 (2023) - 2022
- [j10]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) - [j9]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) - [j8]Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, Sadao Kurohashi:
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework. IEEE Trans. Affect. Comput. 13(1): 285-297 (2022) - [c45]Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. AAAI 2022: 10563-10571 - [c44]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 - [c43]Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal:
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. AIED (1) 2022: 477-489 - [c42]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 - [c41]Rajarshi Roychoudhury, Subhrajit Dey, Md. Shad Akhtar, Amitava Das, Sudip Kumar Naskar:
A Novel Approach towards Cross Lingual Sentiment Analysis using Transliteration and Character Embedding. ICON 2022: 260-268 - [c40]Krishna Yadav, Md. Shad Akhtar, Tanmoy Chakraborty:
Normalization of Spelling Variations in Code-Mixed Data. ICON 2022: 269-279 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588 - [c33]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 - [c32]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinglish News Delivery. PAKDD (1) 2022: 574-586 - [c31]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 - [e2]Md. Shad Akhtar, Tanmoy Chakraborty:
Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-38-8 [contents] - [i28]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) - [i27]Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinghlish News Delivery. CoRR abs/2204.02155 (2022) - [i26]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) - [i25]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) - [i24]Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022) - [i23]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) - [i22]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) - [i21]Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal:
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. CoRR abs/2207.01494 (2022) - [i20]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) - [i19]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) - [i18]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) - [i17]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. CoRR abs/2211.11049 (2022) - [i16]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
- [j7]Suraj Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Syntactically Coherent Text Augmentation for Sequence Classification. IEEE Trans. Comput. Soc. Syst. 8(6): 1323-1332 (2021) - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [e1]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] - [i15]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) - [i14]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) - [i13]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) - [i12]Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty:
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations. CoRR abs/2105.09984 (2021) - [i11]Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar:
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. CoRR abs/2105.14600 (2021) - [i10]Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. CoRR abs/2108.08759 (2021) - [i9]Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021) - [i8]Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. CoRR abs/2110.00413 (2021) - [i7]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. CoRR abs/2111.06647 (2021) - [i6]Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation. CoRR abs/2112.04873 (2021) - 2020
- [j6]Md. Shad Akhtar, Asif Ekbal, Erik Cambria:
How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes]. IEEE Comput. Intell. Mag. 15(1): 64-75 (2020) - [j5]Md. Shad Akhtar, Tarun Garg, Asif Ekbal:
Multi-task learning for aspect term extraction and aspect sentiment classification. Neurocomputing 398: 247-256 (2020) - [j4]Md. Shad Akhtar, Dushyant Singh Chauhan, Asif Ekbal:
A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. ACM Trans. Knowl. Discov. Data 14(3): 32:1-32:27 (2020) - [c22]Kartik Verma, Shobhit Sinha, Md. Shad Akhtar, Vikram Goyal:
STHAL: Location-mention Identification in Tweets of Indian-context. ICON 2020: 379-383 - [c21]Suyash Sangwan, Md. Shad Akhtar, Pranati Behera, Asif Ekbal:
I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection. IJCNN 2020: 1-8 - [i5]Kumar Shikhar Deep, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Related Tasks can Share! A Multi-task Framework for Affective language. CoRR abs/2002.02154 (2020) - [i4]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. CoRR abs/2011.03327 (2020) - [i3]Mohit Bhardwaj, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty:
Hostility Detection Dataset in Hindi. CoRR abs/2011.03588 (2020)
2010 – 2019
- 2019
- [j3]Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya:
Improving Word Embedding Coverage in Less-Resourced Languages Through Multi-Linguality and Cross-Linguality: A Case Study with Aspect-Based Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(2): 15:1-15:22 (2019) - [c20]Kumar Shikhar Deep, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Related Tasks Can Share! A Multi-task Framework for Affective Language. CICLing (2) 2019: 236-247 - [c19]Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. EMNLP/IJCNLP (1) 2019: 5646-5656 - [c18]Suyash Sangwan, Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Gated Contextual Cross-Modal Attention Framework for Sentiment and Emotion Analysis. ICONIP (4) 2019: 662-669 - [c17]Md. Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya:
Language-Agnostic Model for Aspect-Based Sentiment Analysis. IWCS (1) 2019: 154-164 - [c16]Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. NAACL-HLT (1) 2019: 370-379 - [i2]Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. CoRR abs/1905.05812 (2019) - 2018
- [j2]Md. Shad Akhtar, Asif Ekbal, Sunny Narayan, Vikram Singh:
No, That Never Happened!! Investigating Rumors on Twitter. IEEE Intell. Syst. 33(5): 8-15 (2018) - [c15]Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal:
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. EMNLP 2018: 3402-3411 - [c14]Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. EMNLP 2018: 3454-3466 - [c13]Deepanway Ghosal, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. ICONIP (5) 2018: 162-174 - [c12]Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya:
Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality. NAACL-HLT 2018: 572-582 - [i1]Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction. CoRR abs/1808.01216 (2018) - 2017
- [j1]Md. Shad Akhtar, Deepak Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowl. Based Syst. 125: 116-135 (2017) - [c11]Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya:
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. EMNLP 2017: 540-546 - [c10]Md. Shad Akhtar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann:
Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. NLDB 2017: 15-27 - [c9]Vikram Singh, Sunny Narayan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation. SemEval@ACL 2017: 497-501 - [c8]Abhishek Kumar, Abhishek Sethi, Md. Shad Akhtar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya:
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. SemEval@ACL 2017: 894-898 - [c7]Deepanway Ghosal, Shobhit Bhatnagar, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis. SemEval@ACL 2017: 899-903 - [c6]Md. Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti D. Pawar, Pushpak Bhattacharyya:
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features. WASSA@EMNLP 2017: 212-218 - 2016
- [c5]Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. CICLing (2) 2016: 246-257 - [c4]Md. Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya:
A Hybrid Deep Learning Architecture for Sentiment Analysis. COLING 2016: 482-493 - [c3]Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya:
Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. LREC 2016 - 2015
- [c2]Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal:
IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition. NUT@IJCNLP 2015: 61-67 - [c1]Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal:
IITP: Hybrid Approach for Text Normalization in Twitter. NUT@IJCNLP 2015: 106-110
Coauthor Index
[j15] [j14] [j13] [j12] [c66] [c64] [c62] [c61] [c60] [c59] [c58] [i51] [i50] [i47] [i46] [i45] [i43] [i42] [j11] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j10] [j9] [c45] [c44] [c42] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [e2] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i16] [j7] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [e1] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i4] [i3]
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