Haitao Liu


2023

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Information Compression via Eliding Verb Phrase: A Dependency-Based Study
Zheyuan Dai | Chenliang Zhou | Haitao Liu
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

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Contrasting the Chinese bei-passive and the English be-passive through dependency distance
Yonghui Xie | Ruochen Niu | Haitao Liu
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

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The Cross-linguistic Variations in Dependency Distance Minimization and its Potential Explanations
Ruochen Niu | Yaqin Wang | Haitao Liu
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

2022

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Discourse Markers as the Classificatory Factors of Speech Acts
Da Qi | Chenliang Zhou | Haitao Liu
Proceedings of the 21st Chinese National Conference on Computational Linguistics

“Since the debut of the speech act theory, the classification standards of speech acts have been in dispute. Traditional abstract taxonomies seem insufficient to meet the needs of artificial intelligence for identifying and even understanding speech acts. To facilitate the automatic identification of the communicative intentions in human dialogs, scholars have tried some data-driven methods based on speech-act annotated corpora. However, few studies have objectively evaluated those classification schemes. In this regard, the current study applied the frequencies of the eleven discourse markers (oh, well, and, but, or, so, because, now, then, I mean, and you know) proposed by Schiffrin (1987) to investigate whether they can be effective indicators of speech act variations. The results showed that the five speech acts of Agreement can be well classified in terms of their functions by the frequencies of discourse markers. Moreover, it was found that the discourse markers well and oh are rather efficacious in differentiating distinct speech acts. This paper indicates that quantitative indexes can reflect the characteristics of human speech acts, and more objective and data-based classification schemes might be achieved based on these metrics.”

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How syntactic analysis influences the calculation of mean dependency distance: Evidence from the enhanced dependency representation
Tsy Yih | Jianwei Yan | Haitao Liu
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation

2021

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A quantitative investigation of English adnominal modifiers
Tsy Yih | Haitao Liu
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation

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The properties of rare and complex syntactic constructions in English. A corpus-based comparative study
Ruochen Niu | Yaqin Wang | Haitao Liu
Proceedings of the Second Workshop on Quantitative Syntax (Quasy, SyntaxFest 2021)

2019

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Which annotation scheme is more expedient to measure syntactic difficulty and cognitive demand?
Jianwei Yan | Haitao Liu
Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)

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A quantitative probe into the hierarchical structure of written Chinese
Heng Chen | Haitao Liu
Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)

2015

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Classifying Syntactic Categories in the Chinese Dependency Network
Xinying Chen | Haitao Liu | Kim Gerdes
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)

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Mean Hierarchical Distance Augmenting Mean Dependency Distance
Yingqi Jing | Haitao Liu
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)

2012

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Book Review: Quantitative Syntax Analysis by Reinhard Köhler
Chunshan Xu | Haitao Liu
Computational Linguistics, Volume 38, Issue 3 - September 2012

2006

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A Chinese Dependency Syntax for Treebanking
Haitao Liu | Wei Huang
Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation