Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP-Reference-Cited by-同舟云学术

Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP

Published:2019-05 Issue:3 Volume:33 Page:04019003
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Lee JeeHee¹,Yi June-Seong²,Son JeongWook³

Affiliation:

1. Research Fellow, Dept. of Architectural and Urban Systems Engineering, Ewha Womans Univ., 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea.

2. Professor, Dept. of Architectural and Urban Systems Engineering, Ewha Womans Univ., 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea (corresponding author).

3. Assistant Professor, Dept. of Architectural and Urban Systems Engineering, Ewha Womans Univ., 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000807

Reference47 articles.

1. Andor D. C. Alberti D. Weiss A. Severyn A. Presta K. Ganchev S. Petrov and M. Collins. 2016. “Globally normalized transition-based neural networks.” Preprint submitted March 19 2016. https://arxiv.org/abs/1603.06042.

2. Decisional Uncertainties in Construction Projects as a Cause of Disputes and Their Formal Legal Interpretation by the Courts: Review of Legal Cases in the United Kingdom

3. Investigation on Particular Contractual Issues in Construction

4. Sample size planning for classification models

5. Automating hierarchical document classification for construction management information systems

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