no code implementations • ROCLING 2022 • Pin-Er Chen, Yu-Hsiang Tseng, Chi-Wei Wang, Fang-Chi Yeh, Shu-Kai Hsieh
In this paper, we investigate the discourse functions of non-lexical items through their acoustic properties and the phone embeddings extracted from a deep learning model.
no code implementations • GWC 2018 • Chih-Yao Lee, Shu-Kai Hsieh
The present work seeks to make the logographic nature of Chinese script a relevant research ground in wordnet studies.
no code implementations • GWC 2019 • Yu-Hsiang Tseng, Shu-Kai Hsieh
Constructing semantic relations in WordNet has been a labour-intensive task, especially in a dynamic and fast-changing language environment.
no code implementations • ROCLING 2021 • Yu-Lin Chang, Yongfu Liao, Po-Ya Angela Wang, Mao-Chang Ku, Shu-Kai Hsieh
The rapid flow of information and the abundance of text data on the Internet have brought about the urgent demand for the construction of monitoring resources and techniques used for various purposes.
no code implementations • ROCLING 2021 • Cing-Fang Shih, Yu-Hsiang Tseng, Ching-Wen Yang, Pin-Er Chen, Hsin-Yu Chou, Lian-Hui Tan, Tzu-Ju Lin, Chun-Wei Wang, Shu-Kai Hsieh
To investigate the factors underlying the correctness of the model’s predictions, we conduct a series of analyses, including qualitative error analysis and quantitative analysis of linguistic features with logistic regressions.
no code implementations • COLING 2022 • Yu-Hsiang Tseng, Shu-Kai Hsieh
The Notch model first learns the non-linear relations between the constituents and words, and the character Jacobians further describes the character’s role in each word.
no code implementations • LREC 2022 • Yu-Hsiang Tseng, Cing-Fang Shih, Pin-Er Chen, Hsin-Yu Chou, Mao-Chang Ku, Shu-Kai Hsieh
Next, an experiment is conducted on the dataset to examine to what extent a pretrained masked language model is aware of the constructions.
no code implementations • 18 Jan 2024 • Shu-Kai Hsieh, Yu-Hsiang Tseng, Hsin-Yu Chou, Ching-Wen Yang, Yu-Yun Chang
Word sense disambiguation primarily addresses the lexical ambiguity of common words based on a predefined sense inventory.
no code implementations • 29 May 2023 • Yu-Hsiang Tseng, Mao-Chang Ku, Wei-Ling Chen, Yu-Lin Chang, Shu-Kai Hsieh
We propose a `Vec2Gloss' model, which produces the gloss from the target word's contextualized embeddings.
no code implementations • 28 May 2023 • Po-Ya Angela Wang, Pin-Er Chen, Hsin-Yu Chou, Yu-Hsiang Tseng, Shu-Kai Hsieh
This study highlights the potential of the MultiMoco Corpus to provide an important resource for in-depth analysis and further research in multimodal communication studies.
no code implementations • 24 May 2023 • Pin-Er Chen, Po-Ya Angela Wang, Hsin-Yu Chou, Yu-Hsiang Tseng, Shu-Kai Hsieh
This paper explores the grounding issue regarding multimodal semantic representation from a computational cognitive-linguistic view.
no code implementations • COLING 2020 • Yu-Hsiang Tseng, Shu-Kai Hsieh, Pei-Yi Chen, Sara Court
The morphological status of affixes in Chinese has long been a matter of debate.
no code implementations • LREC 2020 • Yu-Yun Chang, Shu-Kai Hsieh
A corpus annotated with Chinese readers{'} veridicality judgments is released as the Chinese PragBank for further analysis.
no code implementations • WS 2019 • Yu-Hsiang Tseng, Shu-Kai Hsieh
Chinese characters are unique in its logographic nature, which inherently encodes world knowledge through thousands of years evolution.
no code implementations • 21 May 2019 • Chu-Ren Huang, Ting-Shuo Yo, Petr Simon, Shu-Kai Hsieh
Both experiments support the claim that the WBD model is a realistic model for Chinese word segmentation as it can be easily adapted for new variants with the robust result.
1 code implementation • IJCNLP 2017 • Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh
Classifiers are function words that are used to express quantities in Chinese and are especially difficult for language learners.
no code implementations • WS 2016 • Kanan Luce, Jiaxing Yu, Shu-Kai Hsieh
Automatic discovery of semantically-related words is one of the most important NLP tasks, and has great impact on the theoretical psycholinguistic modeling of the mental lexicon.
no code implementations • LREC 2014 • Shu-Kai Hsieh
This paper aims to examine and evaluate the current development of using Web-as-Corpus (WaC) paradigm in Chinese corpus linguistics.
no code implementations • ROCLING-IJCLCLP 2012 • Liang-Chih Yu, Richard Tzong-Han Tsai, Chia-Ping Chen, Cheng-Zen Yang, Shu-Kai Hsieh