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A text classification-based approach for evaluating and enhancing the machine interpretability of building codes.

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Title: A text classification-based approach for evaluating and enhancing the machine interpretability of building codes.
Authors: Zheng, Zhe1, Zhou, Yu-Cheng1, Chen, Ke-Yin1, Lu, Xin-Zheng1, She, Zhong-Tian1, Lin, Jia-Rui1, lin611@tsinghua.edu.cnjiarui_lin@foxmail.com
Source: Engineering Applications of Artificial Intelligence; Jan2024:Part A, Vol. 127, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 173784893
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A text classification-based approach for evaluating and enhancing the machine interpretability of building codes.
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Jan2024:Part A, Vol. 127, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173784893
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2023.107207
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      – Code: eng
        Text: English
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      – TitleFull: A text classification-based approach for evaluating and enhancing the machine interpretability of building codes.
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              Text: Jan2024:Part A
              Type: published
              Y: 2024
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              Value: 127
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