DC Field | Value | Language |
---|---|---|
dc.contributor.author | Putri, Rifki Afina | ko |
dc.contributor.author | Hong, Giwon | ko |
dc.contributor.author | Myaeng, Sung-Hyon | ko |
dc.date.accessioned | 2020-11-24T11:50:18Z | - |
dc.date.available | 2020-11-24T11:50:18Z | - |
dc.date.created | 2020-11-06 | - |
dc.date.created | 2020-11-06 | - |
dc.date.issued | 2019-05 | - |
dc.identifier.citation | IWCS 2019 : 13th International Conference on Computational Semantics (IWCS), pp.142 - 153 | - |
dc.identifier.uri | http://hdl.handle.net/10203/277582 | - |
dc.description.abstract | Open Information Extraction (Open IE) aims at generating entity-relation-entity triples from a large amount of text, aiming at capturing key semantics of the text. Given a triple, the relation expresses the type of semantic relation between the entities. Although relations from an Open IE system are more extensible than those used in a traditional Information Extraction system and a Knowledge Base (KB) such as Knowledge Graphs, the former lacks in semantics; an Open IE relation is simply a sequence of words, whereas a KB relation has a predefined meaning. As a way to provide a meaning to an Open IE relation, we attempt to align it with one of the predefined set of relations used in a KB. Our approach is to use a Siamese network that compares two sequences of word embeddings representing an Open IE relation and a predefined KB relation. In order to make the approach practical, we automatically generate a training dataset using a distant supervision approach instead of relying on a hand-labeled dataset. Our experiment shows that the proposed method can capture the relational semantics better than the recent approaches. | - |
dc.language | English | - |
dc.publisher | Association for Computational Linguistics | - |
dc.title | Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 142 | - |
dc.citation.endingpage | 153 | - |
dc.citation.publicationname | IWCS 2019 : 13th International Conference on Computational Semantics (IWCS) | - |
dc.identifier.conferencecountry | SW | - |
dc.identifier.conferencelocation | University of Gothenburg | - |
dc.identifier.doi | 10.18653/v1/w19-0412 | - |
dc.contributor.localauthor | Myaeng, Sung-Hyon | - |
dc.contributor.nonIdAuthor | Putri, Rifki Afina | - |
dc.contributor.nonIdAuthor | Hong, Giwon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.