Wities, Rachel ; Shwartz, Vered ; Stanovsky, Gabriel ; Adler, Meni ; Shapira, Ori ; Upadhyay, Shyam ; Roth, Dan ; Martínez Cámara, Eugenio ; Gurevych, Iryna ; Dagan, Ido (2017)
A Consolidated Open Knowledge Representation for Multiple Texts.
Valencia
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We propose progressing from Open Information Extraction (OIE) to Open Knowledge Representation (OKR), aiming to represent the information conveyed jointly in a set of texts in an open text-based manner. We do so by consolidating OIE extractions based on 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 get semantic applications an easy handle on consolidated information across multiple texts.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Wities, Rachel ; Shwartz, Vered ; Stanovsky, Gabriel ; Adler, Meni ; Shapira, Ori ; Upadhyay, Shyam ; Roth, Dan ; Martínez Cámara, Eugenio ; Gurevych, Iryna ; Dagan, Ido |
| Art des Eintrags: | Bibliographie |
| Titel: | A Consolidated Open Knowledge Representation for Multiple Texts |
| Sprache: | Englisch |
| Publikationsjahr: | April 2017 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics |
| Veranstaltungsort: | Valencia |
| URL / URN: | http://aclweb.org/anthology/W17-0902 |
| Kurzbeschreibung (Abstract): | We propose progressing from Open Information Extraction (OIE) to Open Knowledge Representation (OKR), aiming to represent the information conveyed jointly in a set of texts in an open text-based manner. We do so by consolidating OIE extractions based on 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 get semantic applications an easy handle on consolidated information across multiple texts. |
| Freie Schlagworte: | UKP_p_DIP;UKP_reviewed;UKP_a_LSRA |
| ID-Nummer: | TUD-CS-2017-0049 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 28 Feb 2017 16:32 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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