ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams

Changliang Li, Cunliang Kong


Abstract
Multi-choice question answering in exams is a typical QA task. To accomplish this task, we present an answer localization method to locate answers shown in web pages, considering structural information and semantic information both. Using this method as basis, we analyze sentences and paragraphs appeared on web pages to get predictions. With this answer localization system, we get effective results on both validation dataset and test dataset.
Anthology ID:
I17-4033
Volume:
Proceedings of the IJCNLP 2017, Shared Tasks
Month:
December
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
199–202
Language:
URL:
https://www.aclweb.org/anthology/I17-4033
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/I17-4033.pdf