Entity-Enriched Neural Models for Clinical Question Answering
Main Authors: | Rawat, Bhanu Pratap Singh, Weng, Wei-Hung, Min, So Yeon, Raghavan, Preethi, Szolovits, Peter, Linguist, Assoc Computat |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
2021
|
Online Access: | https://hdl.handle.net/1721.1/137702 |
Similar Items
-
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
by: Raghavan, Preethi, et al.
Published: (2022) -
Advancing Seq2seq with Joint Paraphrase Learning
by: Min, So Yeon, et al.
Published: (2022) -
Semantically factoid question answering using fuzzy SVM named entity recognition
by: Mansouri, Alireza, et al.
Published: (2008) -
Using community question-and-answer corpora for question answering.
by: Blooma Mohan John.
Published: (2011) -
Clinical Question-Answering over Distributed EHR Data
by: Jiang, Emily
Published: (2024)