Unsupervised Adverbial Identification in Modern Chinese Literature

Wenxiu Xie; John S. Y. Lee; Fangqiong Zhan; Xiao Han; Chi-Yin Chow

doi:10.18653/v1/2021.latechclfl-1.10

Author(s)

Related Research Unit(s)

Detail(s)

Original language	English
Title of host publication	Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Editors	Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
Publisher	Association for Computational Linguistics
Pages	91-95
Number of pages	5
ISBN (Print)	9781954085916
Publication status	Published - Nov 2021

Publication series

Name	Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings

Conference

Title	5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCHCLfL 2021)
Location	Virtual
Place	Dominican Republic
City	Punta Cana
Period	11 November 2021

Link(s)

DOI	DOI https://doi.org/10.18653/v1/2021.latechclfl-1.10 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85138480378&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(58e7fb60-2b66-4e52-9118-377eda28f88f).html

Abstract

In many languages, adverbials can be derived from words of various parts-of-speech. In Chinese, the derivation may be marked either with the standard adverbial marker DI, or the non-standard marker DE. Since DE also serves double duty as the attributive marker, accurate identification of adverbials requires disambiguation of its syntactic role. As parsers are trained predominantly on texts using the standard adverbial marker DI, they often fail to recognize adverbials suffixed with the non-standard DE. This paper addresses this problem with an unsupervised, rule-based approach for adverbial identification that utilizes dependency tree patterns. Experiment results show that this approach outperforms a masked language model baseline. We apply this approach to analyze standard and non-standard adverbial marker usage in modern Chinese literature.

Citation Format(s)

[ RIS ] [ BibTeX ]

Unsupervised Adverbial Identification in Modern Chinese Literature. / Xie, Wenxiu ; Lee, John S. Y.; Zhan, Fangqiong et al.

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. ed. / Stefania Degaetano-Ortlieb; Anna Kazantseva; Nils Reiter; Stan Szpakowicz. Association for Computational Linguistics, 2021. p. 91-95 (Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

Xie, W , Lee, JSY , Zhan, F, Han, X & Chow, C-Y 2021, Unsupervised Adverbial Identification in Modern Chinese Literature. in S Degaetano-Ortlieb, A Kazantseva, N Reiter & S Szpakowicz (eds), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings, Association for Computational Linguistics, pp. 91-95, 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCHCLfL 2021), Punta Cana, Dominican Republic, 11/11/21. https://doi.org/10.18653/v1/2021.latechclfl-1.10

Xie, W., Lee, J. S. Y., Zhan, F., Han, X., & Chow, C-Y. (2021). Unsupervised Adverbial Identification in Modern Chinese Literature. In S. Degaetano-Ortlieb, A. Kazantseva, N. Reiter, & S. Szpakowicz (Eds.), Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 91-95). (Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.latechclfl-1.10

Xie W , Lee JSY , Zhan F, Han X, Chow C-Y. Unsupervised Adverbial Identification in Modern Chinese Literature. In Degaetano-Ortlieb S, Kazantseva A, Reiter N, Szpakowicz S, editors, Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. Association for Computational Linguistics. 2021. p. 91-95. (Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings). doi: 10.18653/v1/2021.latechclfl-1.10

Xie, Wenxiu ; Lee, John S. Y. ; Zhan, Fangqiong et al. / Unsupervised Adverbial Identification in Modern Chinese Literature. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. editor / Stefania Degaetano-Ortlieb ; Anna Kazantseva ; Nils Reiter ; Stan Szpakowicz. Association for Computational Linguistics, 2021. pp. 91-95 (Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL - Co-located with the Conference on Empirical Methods in Natural Language Processing, EMNLP - Proceedings).