Which is better for deep learning: Python or MATLAB? Answering comparative questions in natural language

Viktoriia Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationEACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages302-311
Number of pages10
ISBN (Electronic)9781954085053
Publication statusPublished - 2021
Event16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021 - Virtual, Online
Duration: 19 Apr 202123 Apr 2021

Publication series

NameEACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the System Demonstrations

Conference

Conference16th Conference of the European Chapter of the Associationfor Computational Linguistics: System Demonstrations, EACL 2021
CityVirtual, Online
Period19/04/2123/04/21

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