Yu Wang

Hong Kong Polytechnic

Also published as:

Other people with similar names: Yu Wang, Yu Wang, Yu Wang, Yu Wang

Unverified author pages with similar names: Yu Wang


Fixing paper assignments

  1. Please select all papers that do not belong to this person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2024

pdf bib
Word Boundary Decision: An Efficient Approach for Low-Resource Word Segmentation
Yu Wang | Chu-Ren Huang
Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation

2023

pdf bib
Existence Justifies Reason: A Data Analysis on Chinese Classifiers Based on Eye Tracking and Transformers
Yu Wang | Emmanuele Chersoni | Chu-Ren Huang
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation

2022

pdf bib
双重否定结构自动识别研究(The Research on Automatic Recognition of the Double Negation Structure)
Yu Wang (王昱) | Yulin Yuan (袁毓林)
Proceedings of the 21st Chinese National Conference on Computational Linguistics

“双重否定结构是一种“通过两次否定表示肯定意义”的特殊结构,其存在会对自然语言处理中的语义判断与情感分类产生重要影响。本文以“eg eg P== extgreater P”为标准,对现代汉语中所有的“否定词+否定词”结构进行了遍历研究,将双重否定结构按照格式分为了3大类,25小类,常用双重否定结构或构式132个。结合动词的叙实性、否定焦点、语义否定与语用否定等相关理论,本文归纳了双重否定结构的三大成立条件,并据此设计实现了基于规则的双重否定结构自动识别程序。程序实验的精确率为98.85%,召回率为98.90%,F1值为98.85%。同时,程序还从96281句语料中获得了8640句精确率约为99%的含有双重否定结构的句子,为后续基于统计的深度学习模型提供了语料支持的可能。”

2020

pdf bib
基于规则的双重否定识别——以“不v1不v2”为例(Double Negative Recognition Based on Rules——Taking “不v1不v2” as an Example)
Yu Wang (王昱)
Proceedings of the 19th Chinese National Conference on Computational Linguistics

“不v1不v2”是汉语中典型的双重否定结构形式之一,它包括“不+助动词+不+v2”(不得不去)、“不+是+不v2”(不是不好)、述宾结构“不v1...不v2”(不认为他不去)等多种双重否定结构,情况复杂。本文以“不v1不v2”为例,结合“元语否定”、“动词叙实性”、“否定焦点”等概念,对“不v1不v2”进行了全面的考察,制定了“不v1不v2”双重否定结构的识别策略。根据识别策略,设计了双重否定自动识别程序,并在此过程中补充了助动词表、非叙实动词表等词库。最终,对28033句语料进行了识别,识别正确率为97.87%,召回率约为93.10%。