Posts by Collection

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Careful Selection of Knowledge to solve Open Book Question Answering

Published in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 6120-6129), 2019

In this paper we try to solve OpenBookQA from AllenAI using multiple new techniques.

Recommended citation: Banerjee, P., Pal, K. K., Mitra, A., & Baral, C. (2019, July). Careful Selection of Knowledge to Solve Open Book Question Answering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 6120-6129). https://www.aclweb.org/anthology/P19-1615/

Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering

Published in arxiv.org, 2019

In this paper we evaluate multiple ways to incorporate knowledge in large Neural Language Models.

Recommended citation: Mitra, A., Banerjee, P., Pal, K. K., Mishra S. & Baral, C. (2019, July). Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. CoRR, arxiv.org https://arxiv.org/abs/1909.08855

ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking

Published in Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), 2019

In this paper I explore ways te regenerate explanations given a question and correct answer.

Recommended citation: Banerjee, P. (2019, Septemeber). ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking. In Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13). https://www.aclweb.org/anthology/D19-5310/

Knowledge Guided Named Entity Recognition

Published in arxiv.org, 2019

In this paper I explore ways to use external knowledge to improve Named Entity Recognition in BioMedical texts.

Recommended citation: Pratyay Banerjee, Kuntal Kumar Pal, Murthy Devarakonda and Chitta Baral (2019, November). Knowledge Guided Named Entity Recognition. CoRR, arxiv.org. https://arxiv.org/abs/1911.03869

VQA-LOL: Visual Question Answering under the Lens of Logic

Published in 16th European Conference on Computer Vision (ECCV 2020), 2020

In this paper I explore ways to make VQA models robust to Logical Questions

Recommended citation: Tejas Gokhale, Pratyay Banerjee, Chitta Baral and Yezhou Yang (2020, February). VQA-LOL: Visual Question Answering under the Lens of Logic. 16th European Conference on Computer Vision (ECCV 2020) https://arxiv.org/abs/2002.08325

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Published in EMNLP 2020, 2020

In this paper my focussed contribution was developing the V2CQA approach to improve captioning.

Recommended citation: Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral and Yezhou Yang (2020, March). Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR, arxiv.org. https://arxiv.org/abs/2003.05162

Natural Language QA Approaches using Reasoning with External Knowledge

Published in arxiv.org, 2020

In this paper we survey different kinds of techniques to incorporate additional knowledge.

Recommended citation: Chitta Baral, Pratyay Banerjee, Kuntal Kumar Pal and Arindam Mitra (2020, March). Natural Language QA Approaches using Reasoning with External Knowledge . CoRR, arxiv.org. https://arxiv.org/abs/2003.03446

Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering

Published in arxiv.org, 2020

In this paper I created a new synthetic dataset to improve SKR and a new QA model approach for MCQA achieving SOTA on OBQA and QASC datasets.

Recommended citation: Pratyay Banerjee and Chitta Baral (2020, March). Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering. CoRR, arxiv.org. https://arxiv.org/abs/2004.03101

Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering

Published in EMNLP 2020, 2020

In this paper I formulate a new framework to perform zero-shot question answering over unstructured and structured knowledge bases.

Recommended citation: Pratyay Banerjee and Chitta Baral (2020, May). Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering. CoRR, arxiv.org. https://arxiv.org/abs/2005.00316

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

Published in EMNLP 2020, 2020

In this paper my focussed contribution was developing the V2CQA approach to improve captioning.

Recommended citation: Tejas Gokhale, Pratyay Banerjee, Chitta Baral and Yezhou Yang (2020, March). MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP 2020. https://arxiv.org/abs/2009.

CSE 110 : Principles of Programming in Java

Undergraduate Course, ASU, CIDSE, 2018

I was a Teaching Assistant to Dr. Yoshihiro Kobayashi, responsible for labs and quizzes.

CSE 576 : Topics in Natural Language Processing

Graduate Course, ASU, CIDSE, 2019

I was a Teaching Assistant to Dr. Chitta Baral, responsible for grading exams and mentors for Course project work.

CSE 576 : Topics in Natural Language Processing

Graduate Course, ASU, CIDSE, 2020

I was a Teaching Assistant to Dr. Chitta Baral, responsible for grading exams and mentors for Course project work.