Md. Shad Akhtar

According to our database, Md. Shad Akhtar authored at least 90 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Comprehensive Understanding of Code-Mixed Language Semantics Using Hierarchical Transformer.

Tharun Suresh, Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Comput. Soc. Syst., June, 2024

HostileNet: Multilabel Hostile Post Detection in Hindi.

Mohit Bhardwaj, Megha Sundriyal, Manjot Bedi, Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Comput. Soc. Syst., April, 2024

Emotion Flip Reasoning in Multiparty Conversations.

Shivani Kumar, Shubham Dudeja, Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Artif. Intell., March, 2024

Emotion-Aware Multimodal Fusion for Meme Emotion Detection.

Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Affect. Comput., 2024

Crowd Intelligence for Early Misinformation Prediction on Social Media.

Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty, Md. Shad Akhtar

CoRR, 2024

Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF.

Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakroborty

CoRR, 2024

SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF).

Shivani Kumar, Md. Shad Akhtar, Erik Cambria, Tanmoy Chakraborty

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF.

Amey Hengle, Aswini Padhi, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation.

Ayan Sengupta, Shantanu Dixit, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization.

Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md. Shad Akhtar

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Probing Critical Learning Dynamics of PLMs for Hate Speech Detection.

Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

EROS: Entity-Driven Controlled Policy Document Summarization.

Joykirat Singh, Sehban Fazili, Rohan Jain, Md. Shad Akhtar

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Adding SPICE to Life: Speaker Profiling in Multiparty Conversations.

Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation.

Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech.

Neemesh Yadav, Sarah Masud, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics, 2024

No perspective, no perception!! Perspective-aware Healthcare Answer Summarization.

Gauri Naik, Sharad Chandakacherla, Shweta Yadav, Md. Shad Akhtar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations.

Manjot Bedi, Shivani Kumar, Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Affect. Comput., 2023

Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking.

Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty

CoRR, 2023

Persona-aware Generative Model for Code-mixed Language.

Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty

CoRR, 2023

Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities.

Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty

CoRR, 2023

Speaker Profiling in Multiparty Conversations.

Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty

CoRR, 2023

Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling.

Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the ACM Web Conference 2023, 2023

Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spans.

Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Working Notes of FIRE 2023, 2023

Overview of the HASOC Subtracks at FIRE 2023: Detection of Hate Spans and Conversational Hate-Speech.

Shrey Satapara, Sarah Masud, Hiren Madhu, Md. Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty, Sandip Modha, Thomas Mandl

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Overview of the HASOC Subtrack at FIRE 2023: Identification of Tokens Contributing to Explicit Hate in English by Span Detection.

Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Working Notes of FIRE 2023, 2023

Manifold-Preserving Transformers are Effective for Short-Long Range Encoding.

Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues.

Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?

Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization.

Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation.

Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes.

Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues.

Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework.

Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, Sadao Kurohashi

IEEE Trans. Affect. Comput., 2022

Discovering emotion and reasoning its flip in multi-party conversations using masked memory network and transformer.

Shivani Kumar, Anubhav Shrimal, Md. Shad Akhtar, Tanmoy Chakraborty

Knowl. Based Syst., 2022

<i>Does aggression lead to hate?</i> Detecting and reasoning offensive traits in hinglish code-mixed texts.

Ayan Sengupta, Sourabh Kumar Bhattacharjee, Md. Shad Akhtar, Tanmoy Chakraborty

Neurocomputing, 2022

Detecting Anchors' Opinion in Hinghlish News Delivery.

Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty

CoRR, 2022

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations.

Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Detecting Anchors' Opinion in Hinglish News Delivery.

Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification.

Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DISARM: Detecting the Victims Targeted by Harmful Memes.

Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering.

Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization.

Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis.

Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Detecting and Understanding Harmful Memes: A Survey.

Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework.

Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Normalization of Spelling Variations in Code-Mixed Data.

Krishna Yadav, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 19th International Conference on Natural Language Processing, 2022

A Novel Approach towards Cross Lingual Sentiment Analysis using Transliteration and Character Embedding.

Rajarshi Roychoudhury, Subhrajit Dey, Md. Shad Akhtar, Amitava Das, Sudip Kumar Naskar

Proceedings of the 19th International Conference on Natural Language Processing, 2022

Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter.

Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction.

Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues.

Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation.

Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Syntactically Coherent Text Augmentation for Sequence Classification.

Suraj Pandey, Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Comput. Soc. Syst., 2021

Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis.

Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets.

Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content.

Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

DESYR: Definition and Syntactic Representation Based Claim Detection on the Web.

Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation.

Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Detecting Harmful Memes and Their Targets.

Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Fighting an Infodemic: COVID-19 Fake News Dataset.

Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts.

Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020

A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis.

Md. Shad Akhtar, Dushyant Singh Chauhan, Asif Ekbal

ACM Trans. Knowl. Discov. Data, 2020

Multi-task learning for aspect term extraction and aspect sentiment classification.

Md. Shad Akhtar, Tarun Garg, Asif Ekbal

Neurocomputing, 2020

Hostility Detection Dataset in Hindi.

Mohit Bhardwaj, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty

CoRR, 2020

How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes].

Md. Shad Akhtar, Asif Ekbal, Erik Cambria

IEEE Comput. Intell. Mag., 2020

I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection.

Suyash Sangwan, Md. Shad Akhtar, Pranati Behera, Asif Ekbal

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

STHAL: Location-mention Identification in Tweets of Indian-context.

Kartik Verma, Shobhit Sinha, Md. Shad Akhtar, Vikram Goyal

Proceedings of the 17th International Conference on Natural Language Processing, 2020

2019

Improving Word Embedding Coverage in Less-Resourced Languages Through Multi-Linguality and Cross-Linguality: A Case Study with Aspect-Based Sentiment Analysis.

Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis.

Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Language-Agnostic Model for Aspect-Based Sentiment Analysis.

Md. Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya

Proceedings of the 13th International Conference on Computational Semantics, 2019

Multi-task Gated Contextual Cross-Modal Attention Framework for Sentiment and Emotion Analysis.

Suyash Sangwan, Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis.

Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Related Tasks Can Share! A Multi-task Framework for Affective Language.

Kumar Shikhar Deep, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2018

No, That Never Happened!! Investigating Rumors on Twitter.

Md. Shad Akhtar, Asif Ekbal, Sunny Narayan, Vikram Singh

IEEE Intell. Syst., 2018

A Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction.

Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya

CoRR, 2018

Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality.

Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction.

Deepanway Ghosal, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Neural Information Processing - 25th International Conference, 2018

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.

Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Contextual Inter-modal Attention for Multi-modal Sentiment Analysis.

Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis.

Md. Shad Akhtar, Deepak Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya

Knowl. Based Syst., 2017

IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features.

Md. Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti D. Pawar, Pushpak Bhattacharyya

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation.

Vikram Singh, Sunny Narayan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text.

Abhishek Kumar, Abhishek Sethi, Md. Shad Akhtar, Asif Ekbal, Chris Biemann, Pushpak Bhattacharyya

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis.

Deepanway Ghosal, Shobhit Bhatnagar, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis.

Md. Shad Akhtar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann

Proceedings of the Natural Language Processing and Information Systems, 2017

A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis.

Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation.

Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

A Hybrid Deep Learning Architecture for Sentiment Analysis.

Md. Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the COLING 2016, 2016

Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi.

Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015

IITP: Hybrid Approach for Text Normalization in Twitter.

Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal

Proceedings of the Workshop on Noisy User-generated Text, 2015

IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition.

Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal

Proceedings of the Workshop on Noisy User-generated Text, 2015