- Research Interest Natural Language Processing, Sentiment Analysis, Emotion Analysis, Conversational Dialog Systems, Low-resource and Code-mixed languages, Multimodality.
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Address
Department of Computer Science & Engineering
Indraprasth Institute of Information Technology, Delhi - E-mail shad[dot]akhtar[at]{iiitd[dot]ac[dot]in, gmail[dot]com}
- Phone +91 11 26907365
Research
- Conversational Dialogs: We regard various modules of a dialog system, such as intent classification, slot-filling, dialog-act classification, dialog management, and dialog generation, for both goal-oriented and generic conversational chatbots. Moreover, we inspect conversational dialogs for various supplementary tasks as well, e.g., speaker profiling, emotion-flip reasoning, etc.
- Code-mixed and Low Resource Language Processing: We explore a wide range of natural language processing tasks in the vicinity of code-mixed and low-resource languages in Indian context. The prime objective is to facilitate the technology to a vast non-native English speakers.
- Multimodality: We study the interdisciplinary domain of speech and/or vision modalities with the textual processing for a number of traditional and recent natural language processing tasks such as summarization, opinion mining, emotion analysis, sarcasm detection, offensive post detection, etc.
- PhDs:
- Aseem Srivastava, IIIT Delhi, Topic: Dialog System for Social Counselling, [Aug 2020 - Present]
- Megha Sundriyal, IIIT Delhi, Topic: Claim Detection and Verification [Aug 2020 - Present]
- MTPs:
- TG Narayan, IIIT Delhi, Topic: Legal Document Processing, [2021 - Present]
- Sanjana Soni, IIIT Delhi, Topic: Code-mixed MT, [2020 - 2021]
- Shubham Dudeja, IIIT Delhi, Topic: Emotion Flip Reasoning in Multiparty Conversations [2020 - 2021]
- Desai Poorav Akshay, IIIT Delhi, Topic: Multimodal Sarcasm Analysis [2020 - 2021]
- Krishna Yadav, IIIT Delhi, Topic: Code-mixed Intent classification and slot-filling for Goal-oriented Dialog System [2020 - 2021]
- BTPs:
- Siddharth Sadhwani and Nishant Grover, IIIT Delhi, Topic: Detecting Anchor's Opinion in News Delivery, [2020 - Present]
- Prantak Singh, BITS Goa, Topic: Claim Detection in Online Social Media [Jan - June 2021]
- Jasleen Kaur, BITS Goa, Topic: Extracting Explanations for MultiModal Data [Jan - June 2021]
- IPs:
- Kushagr Arora, IIIT Delhi, Topic: Speaker Profiling in Conversation [Aug-Dec 2020]
- Suchet Aggarwal, IIIT Delhi, Topic: Multimodal Sarcasm Analysis [Aug-Dec 2020]
- Sahil Shah, IIIT Delhi, Topic: Assessing the Challenges of Propaganda Detection in News Articles, [Jan-Jun 2020]
- Tanya Kapoor and Anvit Sachadev, IIIT Delhi, Topic: Best Practices for Twitter Engagement [Jan-Jun 2020]
Publications
- Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov and Tanmoy Chakraborty. (2021). MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. In Proceedings of the Empirical Methods in Natural Language Processing, EMNLP (Findings).
- Megha Sundriyal, Prantak Singh, Md Shad Akhtar, Shubhashis Sengupta, and Tanmoy Chakraborty. (2021). DESYR: Definition and Syntactic Representation Based Claim Detection on the Web.. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM), Gold Coast, Queensland, Australia.
- Manjot Bedi, Shivani Kumar, Md Shad Akhtar, Tanmoy Chakraborty. (2021). Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations. IEEE Transactions on Affective Computing. doi: 10.1109/TAFFC.2021.3083522.
- Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty and Md Shad Akhtar. (2021). HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP (Findings), Bangkok, Thailand.
- Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md Shad Akhtar, Preslav Nakov and Tanmoy Chakraborty. (2021). Detecting Harmful Memes and Their Targets. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP (Findings), Bangkok, Thailand.
- Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty. (2021). Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. In Proceedings of the 15th International Conference on Web and Scoail Media (ICWSM), Online.
- Shreya Gupta, Parantak Singh, Megha Sundriyal, Md Shad Akhtar, and Tanmoy Chakraborty. (2021). LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL): Main Volume, Online. pages 3178–3188.
- Suraj Pandey, Md Shad Akhtar, Tanmoy Chakraborty. (2021). Syntactically Coherent Text Augmentation for Sequence Classification. IEEE Transactions on Computational Social Systems. doi: 10.1109/TCSS.2021.3075774.
- Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md Shad Akhtar, and Tanmoy Chakraborty. (2021). Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. In Proceedings of the First International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (CONSTRAINT-2021), Collocated with AAAI 2021. Feb 2021. Online.
- Parth Patwa, Shivam Sharma, Srinivas Pykl, Vineeth Guptha, Gitanjali Kumari, Md Shad Akhtar, Asif Ekbal, Amitava Das, and Tanmoy Chakraborty. (2021). Fighting an Infodemic: COVID-19 Fake News Dataset. In Proceedings of the First International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (CONSTRAINT-2021), Collocated with AAAI 2021. Feb 2021. Online.
- Md Shad Akhtar, Dushyant Singh Chauhan, and Asif Ekbal. (2020); A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. IEEE Transactions on Knowledge Discovery from Data (TKDD), April 2020.
- Md Shad Akhtar, Tarun Garg, and Asif Ekbal. (2020); Multi-task Learning for Aspect Based Sentiment Analysis. Neurocomputing, Elsevier, March 2020.
- Md Shad Akhtar, Asif Ekbal, Erik Cambria. (2020). How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence Magazine (CIM), January 2020.
- Kartik Verma, Shobhit Sinha, Md Shad Akhtar, and Vikram Goyal. (2020). STHAL: Location-mention Identification in Tweets of Indian-context. In Proceedings of the 17th International Conference on Natural Language Processing (ICON), Patna, India, December 18 - 21, 2020, pages 379–383.
- Md Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, and Sadao Kurohashi. (2019). All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing, August 2019.
- Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2019). Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJNLP 2019), Nov 2019, Hong-Kong, China, pages 5651–5661.
- Suyash Sangwan, Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya. (2019). Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis. In Proceedings of the 6th International Conference on Neural Information Processing (ICONIP-2019), Dec 2019, Sydney, Australia.
- Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya. (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. In Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT-2019), June 2019, Minneapolis, MN, US. (Accepted)
- Md Shad Akhtar, Abhishek Kumar, Asif Ekbal, Chris Biemann, and Pushpak Bhattacharyya. (2019). Language-Agnostic Model for Aspect-Based Sentiment Analysis. In Proceedings of the 13th International Conference on Computational Semantics (IWCS-2019), May 2019, Gothenburg, Sweden. (Accepted)
- Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2019). Related Tasks can Share! A Multi-task Framework for Affective language. In Proceedings of 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2019), April 2019, La Rochelle, France. (Accepted)
- Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya. (2018). Improving Word Embedding Coverage in Less-resource Language through Multi-linguality and Cross-linguality: A Case Study with Aspect based Sentiment Analysis. ACM Transaction on Asian Language and Information Processing (TALLIP), vol. 18, no. 2, pages 15:1-15:22.
- Md Shad Akhtar, Asif Ekbal, Sunny Narayan and Vikram Singh. (2018). No that never happened!! Investigating Rumours in Twitter. IEEE Intelligent Systems, vol. 33, no. 5, pages 8-15.
- Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya. (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2018, Brussels, Belgium, pages 3454--3466.
- Navonil Majumder, Soujanya Poria, Alexander Gelbukh, Md Shad Akhtar, Erik Cambria and Asif Ekbal. (2018). IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), November 2018, Brussels, Belgium, pages 3402--3411.
- Deepanway Ghosal, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2018). Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP-2018), December 2018, Siem Reap, Cambodia, pages 162--174.
- Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya. (2018). Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality. In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT-2018), June 2018, New Orleans, LA, US, pages 572--582.
- Md Shad Akhtar, Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya. (2017). Feature Selection and Ensemble Construction: A Two-step Method for Aspect Based Sentiment Analysis. Knowledge based Systems, Elsevier, vol. 125, pages 116 - 135.
- Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal and Pushpak Bhattacharyya. (2017). A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2017), September 2017, Copenhagen, Denmark, pages 540-546.
- Md Shad Akhtar, Sarah Kohail, Amit Singh, Asif Ekbal and Chris Biemann. (2017). Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. In Proceedings of the 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, LNCS, June 2017, Liège, Belgium, pages 15-27.
- Md Shad Akhtar, Ayush Kumar, Asif Ekbal and Pushpak Bhattacharyya. (2016). A Hybrid Deep Learning Architecture for Sentiment Analysis. In Proceedings of the 26th International Conference on Computational Linguistics (COLING-2016), December 2016, Osaka, Japan, pages 482-493.
- Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2016). Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC-2016), May 2016, Portorož, Slovenia, pages 2703-2709.
- Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2016). Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. In Proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2016), April 2016, Konya, Turkey, pages 246--257.
- Md Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti Pawar and Pushpak Bhattacharyya. (2017). IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017, Copenhagen, Denmark.
- Depanway Ghosal, Shobhit Bhatnagar, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2017). IITP at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 899–903.
- Abhishek Kumar, Abhishek Sethi, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2017). IITP at SemEval-2017 Task 5: Sentiment Prediction in Financial Text. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 894–898.
- Vikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. (2017). IITPB at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), August 2017, Vancouver, Canada, pages 488–492.
- Md Shad Akhtar, Utpal Kumar Sikdar and Asif Ekbal. (2015). IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition. In Proceedings of the ACL 2015 Workshop on Noisy User-generated Text (WNUT-2015), July 2015, Beijing, China, pages 61–67.
- Md Shad Akhtar, Utpal Kumar Sikdar and Asif Ekbal. (2015). IITP: Hybrid Approach for Text Normalization in Twitter. In Proceedings of the ACL 2015 Workshop on Noisy User-generated Text (WNUT-2015), July 2015, Beijing, China, pages 106–110.
Talks & Lectures
- Instructor, Deep Learning,
PG Diploma in Data Science & AI, IBM-IIIT Delhi, [July 2021 - Sep 2021]. - Tutorial on 'Lies vs Truth and Hate vs Love: Exploring recent trends in fake news and hate speech research',
17th International Conference on Natural Language Processing, [Dec 2020]. - Technical talk on Deep learning for NLP,
FDP on Machine Learning and Deep Learning: A Hands-On Approach, CUSAT, [Dec 2020]. - Technical talk on Introduction to Python's Scikit-learn library for Machine Learning,
FDP on Python Programming, JMI, New Delhi, [Sep 2020]. - Technical talk on Supervised Machine learning and Deep learning,
FDP on AI: Algorithms To Architectures, IIIT Delhi, [Jun 2020]. - Technical talk on Foundations of Deep learning and its Application in NLP,
JMI, New Delhi, [Apr 2019]. - Demo/Lab sessions on Natural Langauge Processing,
Center for Development of Telematics (C-DOT), New Delhi, [15th - 21st, Jan 2018]. - Tutorial on Deep Learning for Natural Language Processing,
14th International Conference on Natural Language Processing (ICON - 2017), Jadavpur University, Kolkata, [Dec 2017].- Other speakers were: Mr. Rudra Murthy V (Research Scholar, IIT Bombay) and Mr. Kevin Patel (Research Scholar, IIT Bombay).
- Technical talk on Sentiment Analysis in Indian Languages,
GIAN workshop on Natural Langauge Processing, IIT Patna, [May 2016]. - Other Techincal Talks:, IIT Patna, [Jan 2015 - Jun 2019].
- Cross-lingual Word Respresentation
- Introduction to Aspect Based Sentiment Analysis (ABSA)
- Introdcution to Neural Network and Deep Learning
- Visualization of RNN through Feed-Forward Neural Network
- Distributed Representation - Word Embeddings
- Particple Swarm Optimization (PSO)
- A beginner's guide to WEKA
- Cross-lingual and Multi-lingual Word Embeddings
Academic Activities
- Co-orgainzed a workshop on 'Combating Online Hostile Posts in Regional Languages during Emergency Situation' (CONSTRAINT-2021), Co-located with AAAI-2021
- Program committee member:
COLING, AAAI, NAACL, ACL, EMNLP, ICON, IJCAI, EACL, *Sem, CONSTRAINT, ..., . - Reviewer:
ACM TALLIP, Elsevier KBS, Elsevier Neurocomputing, IEEE TAFFC, IEEE TCSS, IEEE Multimedia Tools and Application, Springer Sadhana.
Work Experience
- Assistant Professor, IIIT Delhi, [Jan 2020 - Present].
- Deep Learning - Winter semester 2021.
- Natural Language Processing - Monsoon semester 2020.
- Fundamentals of Database Management Systems - Winter semester 2020.
- Assistant Professor, IIIT Dharwad, [Aug 2019 - Dec 2019].
- Compiler Design - Odd semester 2015.
- Design and Analysis of Algorithms - Odd semester 2015.
- Teaching Assistant, IIT Patna, [Jan 2015 - June 2019].
- Computer Systems (Laboratory) - Even semester 2015.
- Object Oriented Programming and Data Structure (Laboratory) - Odd semester 2015.
- Compiler Design (Laboratory) - Even semester 2016.
- Artificial Intelligence (Theory and Laboratory) - Odd semesters 2016, 2017 and 2018.
- Natural Language Processing (Theory) - Even semesters 2017, 2018 and 2019.
- Assistant Professor, R P Sharma Institute of Technology, Patna, [Sep 2014 - Dec 2014].
- Compiler Design - Odd semester 2014.
- Computer Networks - Odd semester 2014.
- Object Oriented Programming - Odd semester 2014.
- Principle of Programming Languages - Odd semester 2014.
- Software Engineer, HCL Technologies Ltd., Gurgaon, [Apr 2010 - Jun 2012].
MFC/VC++, Perl, Java Script, C#.
Education
- Matriculation, P. N. Anglo Sanskrit High School, Patna, BSEB, [2001].
- Diploma in Computer Engineering, Jamia Millia Islamia, New Delhi, [2001 - Dec 2004].
- B.E (Computer Engineering), Jamia Millia Islamia, New Delhi, [2005 - 2009].
- M.Tech (CSE), Indian Institute of Technology (Indian School of Mines) Dhanbad, [2012 - 2014].
- PhD (CSE), Indian Institute of Technology Patna (IIT Patna), [Dec 2014 - Nov 2019].
- Thesis: Investigations in Aspect Based Sentiment Analysis.
- Supervisor: Dr. Asif Ekbal, Associate Professor.
Recognitions
- Travel grant to attend Google Natural Language Processing Summit-2017 in Zurich, Switzerland., [Sep 2017].
- Best Presentation Award, Samsung India research visit at IIT Patna., [Apr 2016].
- UGC-NET for lecturership, [Jun 2014].
- Graduate Aptitude Test Engineering (GATE), [2010, 2011, and 2014].
- LiveWire Excellence Award, HCL Technologies Ltd., Gurgaon., [2010 - 2011].
- Gold Medalist, B.E (Computer Engineering). , Jamia Millia Islamia, New Delhi., [2009].
Contact Me
Feel free to contact me
Address
B-406, 4th Floor,
Research and Development (R&D) Building,
Department of Computer Science & Engineering,
Indraprastha Institute of Information Technology-Delhi
New Delhi, India.
Pin - 110020. phone +91 11 26907365 E-mail shad[dot]akhtar[at]{iiitd[dot]ac[dot]in, gmail[dot]com}
Research and Development (R&D) Building,
Department of Computer Science & Engineering,
Indraprastha Institute of Information Technology-Delhi
New Delhi, India.
Pin - 110020. phone +91 11 26907365 E-mail shad[dot]akhtar[at]{iiitd[dot]ac[dot]in, gmail[dot]com}