MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations

Amir Hazem

[How to correct problems with metadata yourself]

Abstract
In this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task. MappSent has initially been proposed for question-to-question similarity hazem2017. In this work, we present the results of two adaptations of MappSent for the question answering task on the English dataset.
Anthology ID:
I17-4034
Volume:
Proceedings of the IJCNLP 2017, Shared Tasks
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Editors:
Chao-Hong Liu, Preslav Nakov, Nianwen Xue
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
203–207
Language:
URL:
https://aclanthology.org/I17-4034
DOI:
Bibkey:
Cite (ACL):
Amir Hazem. 2017. MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 203–207, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations (Hazem, IJCNLP 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/I17-4034.pdf
PDF Search