Abstract
Extensive lexical knowledge is necessary for temporal analysis and planning tasks. We address in this paper a lexical setting that allows for the straightforward incorporation of rich features and structural constraints. We explore a lexical event ordering task, namely determining the likely temporal order of events based solely on the identity of their predicates and arguments. We propose an "edgefactored" model for the task that decomposes over the edges of the event graph. We learn it using the structured perceptron. As lexical tasks require large amounts of text, we do not attempt manual annotation and instead use the textual order of events in a domain where this order is aligned with their temporal order, namely cooking recipes.
Original language | English |
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Title of host publication | NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics |
Subtitle of host publication | Human Language Technologies, Proceedings of the Conference |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1161-1171 |
Number of pages | 11 |
ISBN (Electronic) | 9781941643495 |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
Event | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 - Denver, United States Duration: 31 May 2015 → 5 Jun 2015 |
Publication series
Name | NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference |
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Conference
Conference | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 |
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Country/Territory | United States |
City | Denver |
Period | 31/05/15 → 5/06/15 |
Bibliographical note
Publisher Copyright:© 2015 Association for Computational Linguistics.