首页    期刊浏览 2025年06月13日 星期五
登录注册

文章基本信息

  • 标题:Assessing Factoid Question-Answer Generation for Portuguese (Short Paper)
  • 本地全文:下载
  • 作者:Jo{\~a}o Ferreira ; Ricardo Rodrigues ; Hugo Gon{\c{c}}alo Oliveira
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2020
  • 卷号:83
  • 页码:16:1-16:9
  • DOI:10.4230/OASIcs.SLATE.2020.16
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We present work on the automatic generation of question-answer pairs in Portuguese, useful, for instance, for populating the knowledge-base of question-answering systems. This includes: (i) a new corpus of close to 600 factoid sentences, manually created from an existing corpus of questions and answers, used as our benchmark; (ii) two approaches for the automatic generation of question-answer pairs, which can be seen as baselines; (iii) results of those approaches in the corpus.
  • 关键词:Question-Answer Generation; Corpus; NLP; Portuguese
国家哲学社会科学文献中心版权所有