Datasets:

Modalities:
Text
Languages:
English
Libraries:
Datasets
License:
gabrielaltay commited on
Commit
2b019ad
1 Parent(s): 1185757

upload hub_repos/mediqa_rqe/README.md to hub from bigbio repo

Browse files
Files changed (1) hide show
  1. README.md +39 -0
README.md ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ language:
4
+ - en
5
+ license: unknown
6
+ license_bigbio_shortname: UNKNOWN
7
+ pretty_name: MEDIQA RQE
8
+ ---
9
+
10
+
11
+ # Dataset Card for MEDIQA RQE
12
+
13
+ ## Dataset Description
14
+
15
+ - **Homepage:** https://sites.google.com/view/mediqa2019
16
+ - **Pubmed:** False
17
+ - **Public:** True
18
+ - **Tasks:** Text Pairs Classification
19
+
20
+
21
+ The MEDIQA challenge is an ACL-BioNLP 2019 shared task aiming to attract further research efforts in Natural Language Inference (NLI), Recognizing Question Entailment (RQE), and their applications in medical Question Answering (QA).
22
+ Mailing List: https://groups.google.com/forum/#!forum/bionlp-mediqa
23
+
24
+ The objective of the RQE task is to identify entailment between two questions in the context of QA. We use the following definition of question entailment: “a question A entails a question B if every answer to B is also a complete or partial answer to A” [1]
25
+ [1] A. Ben Abacha & D. Demner-Fushman. “Recognizing Question Entailment for Medical Question Answering”. AMIA 2016.
26
+
27
+
28
+
29
+ ## Citation Information
30
+
31
+ ```
32
+ @inproceedings{MEDIQA2019,
33
+ author = {Asma {Ben Abacha} and Chaitanya Shivade and Dina Demner{-}Fushman},
34
+ title = {Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering},
35
+ booktitle = {ACL-BioNLP 2019},
36
+ year = {2019}
37
+ }
38
+
39
+ ```