Abstract
Joint extraction of entities and relations is an important task in natural language processing (NLP), which aims to capture all relational triplets from plain texts. This is a big challenge due to some of the triplets extracted from one sentence may have overlapping entities. Most existing methods perform entity recognition followed by relation detection between every possible entity pairs, which usually suffers from numerous redundant operations. In this paper, we propose a relation-specific attention network (RSAN) to handle the issue. Our RSAN utilizes relation-aware attention mechanism to construct specific sentence representations for each relation, and then performs sequence labeling to extract its corresponding head and tail entities. Experiments on two public datasets show that our model can effectively extract overlapping triplets and achieve state-of-the-art performance
Original language | English |
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Title of host publication | Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence |
Editors | Christian Bessiere |
Place of Publication | Marina del Rey CA USA |
Publisher | Association for the Advancement of Artificial Intelligence (AAAI) |
Pages | 4054-4060 |
Number of pages | 7 |
ISBN (Electronic) | 9780999241165 |
DOIs | |
Publication status | Published - 2020 |
Event | International Joint Conference on Artificial Intelligence-Pacific Rim International Conference on Artificial Intelligence 2020 - Yokohama, Japan Duration: 7 Jan 2021 → 15 Jan 2021 Conference number: 29th/17th https://www.ijcai.org/Proceedings/2020/ (Proceedings) https://ijcai20.org (Website) |
Conference
Conference | International Joint Conference on Artificial Intelligence-Pacific Rim International Conference on Artificial Intelligence 2020 |
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Abbreviated title | IJCAI-PRICAI 2020 |
Country/Territory | Japan |
City | Yokohama |
Period | 7/01/21 → 15/01/21 |
Other | IJCAI-PRICAI 2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence!IJCAI-PRICAI2020 will take place January 7-15, 2021 online in a virtual reality in Japanese Standard Time (JST) zone. |
Internet address |
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Keywords
- Natural Language Processing
- Information Extraction
- Knowledge Extraction
- Data Mining
- Mining Graphs
- Semi Structured Data
- Complex Data
- Mining Text
- Web
- Social Media