Sample of Legal Provision Retrieval Using Topic Clustering to Support Utility Relocation Agreement Drafting in Highway Projects

Author:

Elelu Kehinde1ORCID,Do Quan2,Le Tuyen3ORCID,Piratla Kalyan4

Affiliation:

1. Ph.D. Student, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 131 Lowry Hall, Clemson, SC 29634. ORCID: .

2. Ph.D. Student, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 131 Lowry Hall, Clemson, SC 29634.

3. Assistant Professor, Glenn Dept. of Civil Engineering, College of Engineering, Computing and Applied Sciences, Clemson Univ., 316 Lowry Hall, Clemson, SC 29634 (corresponding author). ORCID: .

4. Professor of Civil Engineering, Liles Associate, Glenn Dept. of Civil Engineering, Clemson Univ., 310 Lowry Hall, Clemson, SC 29634.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Law,Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Civil and Structural Engineering,Building and Construction

Reference43 articles.

1. Opinion Mining on Mandalika Hotel Reviews Using Latent Dirichlet Allocation

2. Improving topic modeling through homophily for legal documents

3. Blair J. 2003. “Utility relocations on construction projects: A contractor’s perspective.” In Proc. 89th Annual Purdue Road School Conf. Washington DC: National Academies of Sciences Engineering and Medicine.

4. Probabilistic topic models

5. Blei, D., A. Ng, and M. Jordan. 2003. “Latent dirichlet allocation.” In Vol. 14 of Advances in neural information processing systems, edited by T. Dietterich, S. Becker, and Z. Ghahramani. Cambridge, MA: MIT Press.

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