Mandya, Angrosh, Bollegala, Danushka ORCID: 0000-0003-4476-7003, Coenen, Frans ORCID: 0000-0003-1026-6649 and Atkinson, Katie ORCID: 0000-0002-5683-4106
(2018)
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision.
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Abstract
This paper presents a benchmark dataset for the task of inter-sentence relation extraction. The paper explains the distant supervision method followed for creating the dataset for inter-sentence relation extraction, involving relations previously used for standard intra-sentence relation extraction task. The study evaluates baseline models such as bag-of-words and sequence based recurrent neural network models on the developed dataset and shows that recurrent neural network models are more useful for the task of intra-sentence relation extraction. Comparing the results of the present work on iner-sentence relation extraction with previous work on intra-sentence relation extraction, the study suggests the need for more sophisticated models to handle long-range information between entities across sentences.
Item Type: | Conference or Workshop Item (Unspecified) |
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Uncontrolled Keywords: | Inter-sentence Relation Extraction, Relation Extraction, Inter-sentence Relation Extraction Dataset, Distant Supervision for Inter-sentence Relation Extraction |
Depositing User: | Symplectic Admin |
Date Deposited: | 03 Jul 2018 08:11 |
Last Modified: | 09 Feb 2023 02:01 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3023278 |