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Semantic Representations of Terms in Traditional Chinese Medicine

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Chinese Lexical Semantics (CLSW 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11831))

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Abstract

Word embeddings have been widely used in lexical semantics and neural networks in Natural Language Processing. This article investigates the semantic representations using word embedding technologies by verifying them on a human constructed domain ontology. The domain of Traditional Chinese Medicine (TCM) is used as a workbench in this study, because this domain is knowledge-rich and has a large-scale domain ontology with well-defined entity types and relation types. This article releases a dataset, named “TCMSem”, to capture TCM domain experts’ intuitions of semantic relatedness. This data set is designed to cover the medical entities and relations with as many semantic types as possible so as to initiate a diverse and comprehensive evaluation on word embeddings. Experimental results show that word embeddings have demonstrated higher proficiencies in the detection of synonyms and collocations than other types of semantic relations. Furthermore, the semantic relatedness of thousands of terms of major categories in TCM is visualized using the taxonomy defined in the ontology.

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Acknowledgments

(1) The 13th Five-Year Plan for National Key R&D Program of China (2018YFC1705401) Literature mining and evidence-based research on ulcerative colitis; (2) State Natural Science Fund Project 81873390 Study on pedigree construction of ancient knowledge of acupuncture and moxibustion based on text vector.

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Authors and Affiliations

  1. Institute of Linguistics & Research Center for Lexicology and Lexicography, Chinese Academy of Social Sciences, Beijing, China

    Qinan Hu & Yueguo Gu

  2. China Multilingual and Multimodal Corpora and Big Data Research Centre, Beijing, China

    Qinan Hu & Yueguo Gu

  3. Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China

    Ling Zhu, Jinghua Li, Qi Yu, Ye Tian & Tong Yu

  4. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China

    Feng Yang

Authors
  1. Qinan Hu
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  2. Ling Zhu
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  3. Feng Yang
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  4. Jinghua Li
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  5. Qi Yu
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  6. Ye Tian
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  7. Tong Yu
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  8. Yueguo Gu
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Corresponding author

Correspondence to Ling Zhu .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Beijing Information Science and Technology University, Beijing, China

    Yangsen Zhang

  3. Beijing Language and Culture University, Beijing, China

    Pengyuan Liu

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Hu, Q. et al. (2020). Semantic Representations of Terms in Traditional Chinese Medicine. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_77

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_77

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38188-2

  • Online ISBN: 978-3-030-38189-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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