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05/31/2023
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
In addressing the task of converting natural language to SQL queries, th...
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04/26/2023
HeySQuAD: A Spoken Question Answering Dataset
Human-spoken questions are critical to evaluating the performance of spo...
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11/27/2022
Understanding BLOOM: An empirical study on diverse NLP tasks
In this work, we present an evaluation of smaller BLOOM model variants (...
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06/06/2022
Learning to Ask Like a Physician
Existing question answering (QA) datasets derived from electronic health...
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07/01/2020
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
Knowledge Graphs (KG), composed of entities and relations, provide a str...
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05/13/2020
Entity-Enriched Neural Models for Clinical Question Answering
We explore state-of-the-art neural models for question answering on elec...
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09/03/2018
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
We propose a novel methodology to generate domain-specific large-scale q...
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05/17/2018
Annotating Electronic Medical Records for Question Answering
Our research is in the relatively unexplored area of question answering ...
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06/08/2016
Addressing Limited Data for Textual Entailment Across Domains
We seek to address the lack of labeled data (and high cost of annotation...
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02/13/2015
