Named Entity Recognition Algorithm for iBISDS Using Neural Network-Reference-Cited by-同舟云学术

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Named Entity Recognition Algorithm for iBISDS Using Neural Network

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
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Author:

Wang Ning¹²³,Issa Raja R. A.¹²³,Anumba Chimay J.¹²³

Affiliation:

1. Ph.D. Candidate, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL. ORCID: https://orcid.org/0000-0003-3096-2385.

2. Distinguished Professor, Rinker School of Construction Management, Univ. of Florida, Gainesville, FL.

3. Dean and Professor, College of Design, Construction and Planning, Univ. of Florida, Gainesville, FL.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.055

Reference19 articles.

1. Improving Biochemical Named Entity Recognition Using PSO Classifier Selection and Bayesian Combination Methods;Akkasi A.;IEEE/ACM Transactions on Computational Biology and Bioinformatics,2017

2. Automatically learning construction injury precursors from text

3. Bishop, C. M. (2006). Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, Berlin, Heidelberg.

4. Du Y. and Zhao W. (2020). “Named Entity Recognition Method with Word Position.” Proceedings - 2020 International Workshop on Electronic Communication and Artificial Intelligence IWECAI 2020 154–159.

5. A Natural-Language-Based Approach to Intelligent Data Retrieval and Representation for Cloud BIM

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1. Information Requirement Analysis for Establishing BIM-Oriented Natural Language Interfaces;Lecture Notes in Civil Engineering;2024

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