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2017 IJCNLP IJCNLP 2017

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

Abstract

AbstractMulti-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.

Authors

Changliang Li, Cunliang Kong

Topics

Natural Language Processing > Applications > Information Extraction Natural Language Processing > Applications > Question Answering

Keywords

question answering semantic information structural information answer localization web page analysis
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