Sergieh, Hatem Mousselly ; Gurevych, Iryna (2016)
Enriching Wikidata with Frame Semantics.
San Diego
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Wikidata is a large-scale, multilingual and freely available knowledge base. It contains more than 14 million facts, however, it is still missing linguistic information. In this paper, we aim to bridge this gap by aligning Wikidata with FrameNet lexicon. We propose an approach based on word embedding to identify a mapping between Wikidata relations, called properties, and FrameNet frames and to annotate the arguments of each relation with the semantic roles of the matching frames. Early empirical results show the advantage of our approach compared to other baseline methods.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Sergieh, Hatem Mousselly ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Enriching Wikidata with Frame Semantics |
| Sprache: | Englisch |
| Publikationsjahr: | 2016 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 5th Workshop on Automated Knowledge Base Construction (AKBC) 2016 held in conjunction with NAACL 2016 |
| Veranstaltungsort: | San Diego |
| URL / URN: | http://www.aclweb.org/anthology/W16-1306 |
| Kurzbeschreibung (Abstract): | Wikidata is a large-scale, multilingual and freely available knowledge base. It contains more than 14 million facts, however, it is still missing linguistic information. In this paper, we aim to bridge this gap by aligning Wikidata with FrameNet lexicon. We propose an approach based on word embedding to identify a mapping between Wikidata relations, called properties, and FrameNet frames and to annotate the arguments of each relation with the semantic roles of the matching frames. Early empirical results show the advantage of our approach compared to other baseline methods. |
| Freie Schlagworte: | reviewed;UKP_a_LangTech4eHum;UKP_a_LSRA;UKP_reviewed |
| ID-Nummer: | TUD-CS-2016-0085 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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