@inproceedings{teranishi-etal-2017-coordination,
title = "Coordination Boundary Identification with Similarity and Replaceability",
author = "Teranishi, Hiroki and
Shindo, Hiroyuki and
Matsumoto, Yuji",
editor = "Kondrak, Greg and
Watanabe, Taro",
booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
month = nov,
year = "2017",
address = "Taipei, Taiwan",
publisher = "Asian Federation of Natural Language Processing",
url = "https://aclanthology.org/I17-1027",
pages = "264--272",
abstract = "We propose a neural network model for coordination boundary detection. Our method relies on the two common properties - similarity and replaceability in conjuncts - in order to detect both similar pairs of conjuncts and dissimilar pairs of conjuncts. The model improves identification of clause-level coordination using bidirectional RNNs incorporating two properties as features. We show that our model outperforms the existing state-of-the-art methods on the coordination annotated Penn Treebank and Genia corpus without any syntactic information from parsers.",
}
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%0 Conference Proceedings
%T Coordination Boundary Identification with Similarity and Replaceability
%A Teranishi, Hiroki
%A Shindo, Hiroyuki
%A Matsumoto, Yuji
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F teranishi-etal-2017-coordination
%X We propose a neural network model for coordination boundary detection. Our method relies on the two common properties - similarity and replaceability in conjuncts - in order to detect both similar pairs of conjuncts and dissimilar pairs of conjuncts. The model improves identification of clause-level coordination using bidirectional RNNs incorporating two properties as features. We show that our model outperforms the existing state-of-the-art methods on the coordination annotated Penn Treebank and Genia corpus without any syntactic information from parsers.
%U https://aclanthology.org/I17-1027
%P 264-272
Markdown (Informal)
[Coordination Boundary Identification with Similarity and Replaceability](https://aclanthology.org/I17-1027) (Teranishi et al., IJCNLP 2017)
ACL