文章基本信息

标题：Which is Better for Deep Learning: Python orMATLAB? Answering Comparative Questions in Natural Language
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作者：Viktoriia Chekalina ; Alexander Bondarenko ; Chris Biemann 等
期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2021
卷号：2021
页码：302-311
DOI：10.18653/v1/2021.eacl-demos.36
语种：English
出版社：ACL Anthology
摘要：We present a system for answering comparative questions (Is X better than Y with respect to Z?) in natural language. Answering such questions is important for assisting humans in making informed decisions. The key component of our system is a natural language interface for comparative QA that can be used in personal assistants, chatbots, and similar NLP devices. Comparative QA is a challenging NLP task, since it requires collecting support evidence from many different sources, and direct comparisons of rare objects may be not available even on the entire Web. We take the first step towards a solution for such a task offering a testbed for comparative QA in natural language by probing several methods, making the three best ones available as an online demo.