no code implementations • WS 2019 • Hemant Pugaliya, James Route, Kaixin Ma, Yixuan Geng, Eric Nyberg
The field of question answering (QA) has seen rapid growth in new tasks and modeling approaches in recent years.
no code implementations • WS 2019 • James Route, Steven Hillis, Isak Czeresnia Etinger, Han Zhang, Alan W. black
Grapheme-to-phoneme conversion (g2p) is the task of predicting the pronunciation of words from their orthographic representation.
no code implementations • WS 2019 • Sai Abishek Bhaskar, Rashi Rungta, James Route, Eric Nyberg, Teruko Mitamura
This paper presents a multi-task learning approach to natural language inference (NLI) and question entailment (RQE) in the biomedical domain.
no code implementations • WS 2019 • Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg
This paper presents the submissions by Team Dr. Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain.
no code implementations • 3 Jun 2019 • Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai
We propose a data storage and analysis method for using the US Congressional record as a policy analysis tool.