Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)

Study of Corpus Classification Management Method in Construction Correspondence Files

Authors
Dan Li, Qiqi Zhang, Jiadong Cao, Yihua Mao
Corresponding Author
Yihua Mao
Available Online August 2019.
DOI
10.2991/edmi-19.2019.50How to use a DOI?
Keywords
Engineering Management; Construction Stage; Corpus Classification.
Abstract

The construction correspondence files, including letters, emails and meeting summaries, are used for information exchange during the construction stage. Information about design adjustment, project change and on-site coordination among several parties are included in these files. However, searching for the record is labor intensive and inefficient in the settlement and claim process. Two actual-based corpus classifications were brought out and tested by literature and statistics method in this paper, which could be the guidance for machine language learning. Finally, the application of contract corpus classification is proposed.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
August 2019
ISBN
978-94-6252-771-3
ISSN
2352-5428
DOI
10.2991/edmi-19.2019.50How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dan Li
AU  - Qiqi Zhang
AU  - Jiadong Cao
AU  - Yihua Mao
PY  - 2019/08
DA  - 2019/08
TI  - Study of Corpus Classification Management Method in Construction Correspondence Files
BT  - Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019)
PB  - Atlantis Press
SP  - 305
EP  - 308
SN  - 2352-5428
UR  - https://doi.org/10.2991/edmi-19.2019.50
DO  - 10.2991/edmi-19.2019.50
ID  - Li2019/08
ER  -