STOAT: Structured Data to Analytical Text With Controls.
CoRR, 2023
ReTAG: Reasoning Aware Table to Analytic Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Analyzing User Perspectives on Mobile App Privacy at Scale.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A Framework for Rationale Extraction for Deep QA models.
CoRR, 2021
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
On the Importance of Local Information in Transformer Based Models.
CoRR, 2020
Towards Interpreting BERT for Reading Comprehension Based QA.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
On the weak link between importance and prunability of attention heads.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Towards Transparent and Explainable Attention Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples.
CoRR, 2019
Let's Ask Again: Refine Network for Automatic Question Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization.
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.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Towards a Better Metric for Evaluating Question Generation Systems.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Diversity driven attention model for query-based abstractive summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017