Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. - Dung Thai; Shikhar Murty; Trapit Bansal; Luke Vilnis; David Belanger 002; Andrew McCallum (CoRR, 2017)

Embedded-State Latent Conditional Random Fields for Sequence Labeling. - Dung Thai; Sree Harsha Ramesh; Shikhar Murty; Luke Vilnis; Andrew McCallum (CoNLL, 2018)

Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction. - Dung Thai; Zhiyang Xu; Nicholas Monath; Boris Veytsman; Andrew McCallum (AKBC, 2020)

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 (EMNLP (1), 2021)

TABBIE: Pretrained Representations of Tabular Data. - Hiroshi Iida; Dung Thai; Varun Manjunatha; Mohit Iyyer (NAACL-HLT, 2021)

Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations. - Dung Thai; Raghuveer Thirukovalluru; Trapit Bansal; Andrew McCallum (RepL4NLP@ACL-IJCNLP, 2021)

Knowledge Informed Semantic Parsing for Conversational Question Answering. - Raghuveer Thirukovalluru; Mukund Sridhar; Dung Thai; Shruti Chanumolu; Nicholas Monath; Sankaranarayanan Ananthakrishnan; Andrew McCallum (RepL4NLP@ACL-IJCNLP, 2021)

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 (EMNLP (Findings), 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)

Machine Reading Comprehension using Case-based Reasoning. - Dung Thai; Dhruv Agarwal 003; Mudit Chaudhary; Wenlong Zhao 001; Rajarshi Das; Jay-Yoon Lee; Hannaneh Hajishirzi; Manzil Zaheer; Andrew McCallum (EMNLP (Findings), 2023)