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Abstract
Universal Dependencies (UD) offer a uniform cross-lingual syntactic representation, with the aim of advancing multilingual applications. Recent work shows that semantic parsing can be accomplished by transforming syntactic dependencies to logical forms. However, this work is limited to English, and cannot process dependency graphs, which allow handling complex phenomena such as control. In this work, we introduce UDEPLAMBDA, a semantic interface for UD, which maps natural language to logical forms in an almost language-independent fashion and can process dependency graphs. We perform experiments on question answering against Freebase and provide German and Spanish translations of the WebQuestions and GraphQuestions datasets to facilitate multilingual evaluation. Results show that UDEPLAMBDA outperforms strong base-lines across languages and datasets. For English, it achieves a 4.9F1point improvement over the state-of-the-art on GraphQuestions.
Original language | English |
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Title of host publication | Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing |
Place of Publication | Copenhagen, Denmark |
Publisher | Association for Computational Linguistics |
Pages | 89–101 |
Number of pages | 13 |
ISBN (Print) | 978-1-945626-83-8 |
DOIs | |
Publication status | Published - 11 Sept 2017 |
Event | EMNLP 2017: Conference on Empirical Methods in Natural Language Processing - Copenhagen, Denmark Duration: 7 Sept 2017 → 11 Sept 2017 http://emnlp2017.net/index.html http://emnlp2017.net/ |
Conference
Conference | EMNLP 2017: Conference on Empirical Methods in Natural Language Processing |
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Abbreviated title | EMNLP 2017 |
Country/Territory | Denmark |
City | Copenhagen |
Period | 7/09/17 → 11/09/17 |
Internet address |
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Dive into the research topics of 'Universal Semantic Parsing'. Together they form a unique fingerprint.Projects
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Profiles
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Mirella Lapata
- School of Informatics - Personal Chair in Natural Language Processing
- Institute of Language, Cognition and Computation
- Language, Interaction, and Robotics
Person: Academic: Research Active