@inproceedings{cao-etal-2021-conner,
title = "{CONNER}: A Cascade Count and Measurement Extraction Tool for Scientific Discourse",
author = "Cao, Jiarun and
Xiang, Yuejia and
Zhang, Yunyan and
Qi, Zhiyuan and
Chen, Xi and
Zheng, Yefeng",
editor = "Palmer, Alexis and
Schneider, Nathan and
Schluter, Natalie and
Emerson, Guy and
Herbelot, Aurelie and
Zhu, Xiaodan",
booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.semeval-1.176",
doi = "10.18653/v1/2021.semeval-1.176",
pages = "1239--1244",
abstract = "This paper presents our wining contribution to SemEval 2021 Task 8: MeasEval. The purpose of this task is identifying the counts and measurements from clinical scientific discourse, including quantities, entities, properties, qualifiers, units, modifiers, and their mutual relations. This task can be induced to a joint entity and relation extraction problem. Accordingly, we propose CONNER, a cascade count and measurement extraction tool that can identify entities and the corresponding relations in a two-step pipeline model. We provide a detailed description of the proposed model hereinafter. Furthermore, the impact of the essential modules and our in-process technical schemes are also investigated.",
}
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%0 Conference Proceedings
%T CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse
%A Cao, Jiarun
%A Xiang, Yuejia
%A Zhang, Yunyan
%A Qi, Zhiyuan
%A Chen, Xi
%A Zheng, Yefeng
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Schluter, Natalie
%Y Emerson, Guy
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%S Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F cao-etal-2021-conner
%X This paper presents our wining contribution to SemEval 2021 Task 8: MeasEval. The purpose of this task is identifying the counts and measurements from clinical scientific discourse, including quantities, entities, properties, qualifiers, units, modifiers, and their mutual relations. This task can be induced to a joint entity and relation extraction problem. Accordingly, we propose CONNER, a cascade count and measurement extraction tool that can identify entities and the corresponding relations in a two-step pipeline model. We provide a detailed description of the proposed model hereinafter. Furthermore, the impact of the essential modules and our in-process technical schemes are also investigated.
%R 10.18653/v1/2021.semeval-1.176
%U https://aclanthology.org/2021.semeval-1.176
%U https://doi.org/10.18653/v1/2021.semeval-1.176
%P 1239-1244
Markdown (Informal)
[CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse](https://aclanthology.org/2021.semeval-1.176) (Cao et al., SemEval 2021)
ACL