@inproceedings{muis-lu-2017-labeling,
title = "Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators",
author = "Muis, Aldrian Obaja and
Lu, Wei",
editor = "Palmer, Martha and
Hwa, Rebecca and
Riedel, Sebastian",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-1276",
doi = "10.18653/v1/D17-1276",
pages = "2608--2618",
abstract = "In this paper, we propose a new model that is capable of recognizing overlapping mentions. We introduce a novel notion of mention separators that can be effectively used to capture how mentions overlap with one another. On top of a novel multigraph representation that we introduce, we show that efficient and exact inference can still be performed. We present some theoretical analysis on the differences between our model and a recently proposed model for recognizing overlapping mentions, and discuss the possible implications of the differences. Through extensive empirical analysis on standard datasets, we demonstrate the effectiveness of our approach.",
}
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%0 Conference Proceedings
%T Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
%A Muis, Aldrian Obaja
%A Lu, Wei
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F muis-lu-2017-labeling
%X In this paper, we propose a new model that is capable of recognizing overlapping mentions. We introduce a novel notion of mention separators that can be effectively used to capture how mentions overlap with one another. On top of a novel multigraph representation that we introduce, we show that efficient and exact inference can still be performed. We present some theoretical analysis on the differences between our model and a recently proposed model for recognizing overlapping mentions, and discuss the possible implications of the differences. Through extensive empirical analysis on standard datasets, we demonstrate the effectiveness of our approach.
%R 10.18653/v1/D17-1276
%U https://aclanthology.org/D17-1276
%U https://doi.org/10.18653/v1/D17-1276
%P 2608-2618
Markdown (Informal)
[Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators](https://aclanthology.org/D17-1276) (Muis & Lu, EMNLP 2017)
ACL