Abstract
We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques for supertagging and dependency tree parsing, constrained by a linguistically principled type system. We present two approximative decoding algorithms, which achieve state-of-the-art accuracy and outperform strong baselines.
Original language | English |
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Title of host publication | ACL 2018 The 56th Annual Meeting of the Association for Computational Linguistics |
Subtitle of host publication | Proceedings of the Conference, Vol. 1 (Long Papers) |
Editors | Iryna Gurevych, Yusuke Miyao |
Place of Publication | Stroudsburg PA |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1831-1841 |
Number of pages | 11 |
Volume | 1 |
ISBN (Electronic) | 9781948087322 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Event | 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018 - Melbourne, Australia Duration: 15 Jul 2018 → 20 Jul 2018 |
Conference
Conference | 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018 |
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Country/Territory | Australia |
City | Melbourne |
Period | 15/07/18 → 20/07/18 |