Abstract
We propose to move from Open Information Extraction (OIE) ahead to Open Knowledge Representation (OKR), aiming to represent information conveyed jointly in a set of texts in an open text-based manner. We do so by consolidating OIE extractions using entity and predicate coreference, while modeling information containment between coreferring elements via lexical entailment. We suggest that generating OKR structures can be a useful step in the NLP pipeline, to give semantic applications an easy handle on consolidated information across multiple texts.
Original language | English |
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Title of host publication | LSDSem 2017 - 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, Proceedings of the Workshop |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 12-24 |
Number of pages | 13 |
ISBN (Electronic) | 9781945626401 |
State | Published - 2017 |
Externally published | Yes |
Event | 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, LSDSem 2017 - Valencia, Spain Duration: 3 Apr 2017 → … |
Publication series
Name | LSDSem 2017 - 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, Proceedings of the Workshop |
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Conference
Conference | 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, LSDSem 2017 |
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Country/Territory | Spain |
City | Valencia |
Period | 3/04/17 → … |
Bibliographical note
Publisher Copyright:© 2017 Association for Computational Linguistics