Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network-Reference-Cited by-同舟云学术

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Wang Zihan¹,Song Hongye²,Ren Zhaochun¹,Ren Pengjie¹,Chen Zhumin¹,Liu Xiaozhong³,Li Hongsong²,de Rijke Maarten⁴

Affiliation:

1. Shandong University, Qingdao, China

2. Alibaba Group, Hangzhou, China

3. Indiana University Bloomington, Bloomington, IN, USA

4. University of Amsterdam & Ahold Delhaize Research, Amsterdam, Netherlands

Funder

Key Scientific and Technological Innovation Program of Shandong Province

Tencent WeChat Rhino-Bird Focused Research Program

National Key R&D Program of China

Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462873

Reference45 articles.

1. Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines

2. Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

3. Ilias Chalkidis and Ion Androutsopoulos. 2017. A deep learning approach to contract element extraction. In Legal Knowledge and Information Systems - JURIX 2017: The Thirtieth Annual Conference . 155--164. Ilias Chalkidis and Ion Androutsopoulos. 2017. A deep learning approach to contract element extraction. In Legal Knowledge and Information Systems - JURIX 2017: The Thirtieth Annual Conference . 155--164.

4. Extracting contract elements

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