Neural Language Model Based Intelligent Semantic Information Retrieval on NCDOT Projects for Knowledge Management-Reference-Cited by-同舟云学术

Neural Language Model Based Intelligent Semantic Information Retrieval on NCDOT Projects for Knowledge Management

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:Computing in Civil Engineering 2021
language:
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Author:

Banerjee Siddharth¹²³⁴,Potts Colin M.¹²³⁴,Jhala Arnav H.¹²³⁴,Jaselskis Edward J.¹²³⁴

Affiliation:

1. Graduate Research Assistant, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC.

2. Graduate Research Assistant, Dept. of Computer Science, North Carolina State Univ., Raleigh, NC.

3. Associate Professor, Dept. of Computer Science, North Carolina State Univ., Raleigh, NC.

4. E.I. Clancy Distinguished Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483893.096

Reference11 articles.

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2. Dalton J. (2013 October 17). Can CMMI save us from the Black Hole of Lessons Learned? Retrieved March 22 2021 from http://askthecmmiappraiser.blogspot.com/2013/10/can-cmmi-save-us-from-black-hole-of.html.

3. Development of North Carolina Department of Transportation’s CLEAR Program for Enhanced Project Performance;Fullerton C. E.;Transportation Research Record,2021

4. Lessons Learned: An Effective Approach to Avoid Repeating the Same Old Mistakes;Ganopol A.;Journal of Aerospace Information Systems,2017

5. Le Q. and Mikolov T. (2014). Distributed Representations of Sentences and Documents. Proceedings of the 31st International Conference on Machine Learning 32(2) 1188–1196.

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