Dung Thai

According to our database, Dung Thai authored at least 11 papers between 2017 and 2023.

Collaborative distances:

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

2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum

CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.

Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Jay-Yoon Lee, Hannaneh Hajishirzi, Manzil Zaheer, Andrew McCallum

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

2022

CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases.

Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum

CoRR, 2022

A Two-Stage Approach towards Generalization in Knowledge Base Question Answering.

Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue

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

2021

Knowledge Informed Semantic Parsing for Conversational Question Answering.

Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations.

Dung Thai, Raghuveer Thirukovalluru, Trapit Bansal, Andrew McCallum

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

TABBIE: Pretrained Representations of Tabular Data.

Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.

Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction.

Dung Thai, Zhiyang Xu, Nicholas Monath, Boris Veytsman, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2018

Embedded-State Latent Conditional Random Fields for Sequence Labeling.

Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017

Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling.

Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum

CoRR, 2017