Preksha Nema

According to our database, Preksha Nema authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

STOAT: Structured Data to Analytical Text With Controls.

Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer

CoRR, 2023

ReTAG: Reasoning Aware Table to Analytic Text Generation.

Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer

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

2022

Analyzing User Perspectives on Mobile App Privacy at Scale.

Preksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja Peddinti

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation.

Anubhav Jangra, Preksha Nema, Aravindan Raghuveer

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

2021

A Framework for Rationale Extraction for Deep QA models.

Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra

CoRR, 2021

Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.

Preksha Nema, Alexandros Karatzoglou, Filip Radlinski

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

The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT.

Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On the Importance of Local Information in Transformer Based Models.

Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra

CoRR, 2020

Towards Interpreting BERT for Reading Comprehension Based QA.

Sahana Ramnath, Preksha Nema, Deep Sahni, Mitesh M. Khapra

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On the weak link between importance and prunability of attention heads.

Aakriti Budhraja, Madhura Pande, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Transparent and Explainable Attention Models.

Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples.

Soham Parikh, Ananya B. Sai, Preksha Nema, Mitesh M. Khapra

CoRR, 2019

Let's Ask Again: Refine Network for Automatic Question Generation.

Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

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

2018

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization.

Preksha Nema, Shreyas Shetty, Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Mitesh M. Khapra

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

A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization.

Parag Jain, Anirban Laha, Karthik Sankaranarayanan, Preksha Nema, Mitesh M. Khapra, Shreyas Shetty

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

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions.

Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards a Better Metric for Evaluating Question Generation Systems.

Preksha Nema, Mitesh M. Khapra

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

2017

Diversity driven attention model for query-based abstractive summarization.

Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017