@inproceedings{adel-schutze-2017-global,
title = "Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification",
author = {Adel, Heike and
Sch{\"u}tze, Hinrich},
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/D17-1181",
doi = "10.18653/v1/D17-1181",
pages = "1723--1729",
abstract = "We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and relations between entities at the same time. Our experiments show that global normalization outperforms a locally normalized softmax layer on a benchmark dataset.",
}
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%0 Conference Proceedings
%T Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
%A Adel, Heike
%A Schütze, Hinrich
%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 adel-schutze-2017-global
%X We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and relations between entities at the same time. Our experiments show that global normalization outperforms a locally normalized softmax layer on a benchmark dataset.
%R 10.18653/v1/D17-1181
%U https://aclanthology.org/D17-1181
%U https://doi.org/10.18653/v1/D17-1181
%P 1723-1729
Markdown (Informal)
[Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification](https://aclanthology.org/D17-1181) (Adel & Schütze, EMNLP 2017)
ACL