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.- Anthology ID:
- W19-0412
- Volume:
- Proceedings of the 13th International Conference on Computational Semantics - Long Papers
- Month:
- May
- Year:
- 2019
- Address:
- Gothenburg, Sweden
- Editors:
- Simon Dobnik, Stergios Chatzikyriakidis, Vera Demberg
- Venue:
- IWCS
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 142–153
- Language:
- URL:
- https://aclanthology.org/W19-0412
- DOI:
- 10.18653/v1/W19-0412
- Cite (ACL):
- Rifki Afina Putri, Giwon Hong, and Sung-Hyon Myaeng. 2019. Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding. In Proceedings of the 13th International Conference on Computational Semantics - Long Papers, pages 142–153, Gothenburg, Sweden. Association for Computational Linguistics.
- Cite (Informal):
- Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding (Putri et al., IWCS 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/W19-0412.pdf