Automated Question Generator for Tagalog Informational Texts Using Case Markers

Philippine Information Technology Journal

Ferrenal, Aimee Michelle A.¹  Montenegro, Chuchi S.¹  Acuba, Melody Grace J.¹  Engle, Vernon G.¹ 

关键词: Question generation;    natural language;    part of speech tagging;    anaphora resolution;    parsing.;   

DOI  :  10.3860/pitj.v5i2.2721

学科分类：计算机科学（综合）

来源: Philippine Society of Information Technology Educators

【 摘 要 】

This paper presents an automated natural language question generator for Tagalog informational texts. It takes a target text as an input and generates set of what, where and who question and answer pairs extracted from the source text. The resulting questions are also ranked using a proposed acceptability criterion. The implementation consists of three modules: a part of speech tagger, an anaphora resolver, and a question ranker. Questions generated from the experiment were rated by three evaluators. Of the generated questions, 33% were rated as acceptable by the evaluators, 96% of which were in need of modifications.

【 授权许可】

Unknown