Papers with relation extraction approaches
Discovering Implicit Knowledge with Unary Relations (P18-1)
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| Challenge: | State-of-the-art relation extraction methods only recognize relationships between mentions of entity arguments stated explicitly in the text. |
| Approach: | They propose a method to identify relations between two entities using unary relations and a common deep learning based representation. |
| Outcome: | The proposed method outperforms state-of-the-art relation extraction technology on a web scale knowledge base population benchmark. |
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas (D19-1)
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| Challenge: | Existing approaches to extract n-ary relations from text are limited to binary relations. |
| Approach: | They propose to learn relation representations of lower-arity facts from decomposing higher-arities . they conduct experiments with datasets for ternary relation extraction . |
| Outcome: | The proposed method improves the performance of n-ary relation extraction methods compared to previous methods. |