Search Results for author: Mao-Chang Ku

Found 5 papers, 1 papers with code

Keyword-centered Collocating Topic Analysis

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.

Word Embeddings

CxLM: A Construction and Context-aware Language Model

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.

Language Modelling

Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss

no code implementations29 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.

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