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 • 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 • 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 • 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 • 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 • 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 • 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.