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20192024
most citedA realistic and robust model for Chinese word segmentation

3 citations · 3 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Resolving Regular Polysemy in Named Entities

Shu-Kai Hsieh, Yu-Hsiang Tseng, Hsin-Yu Chou +2

Word sense disambiguation primarily addresses the lexical ambiguity of common words based on a predefined sense inventory. Conversely, proper names are usually considered to denote…

cs.CL2023

Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss

Yu-Hsiang Tseng, Mao-Chang Ku, Wei-Ling Chen +2

Contextualized embeddings are proven to be powerful tools in multiple NLP tasks. Nonetheless, challenges regarding their interpretability and capability to represent lexical semant…

cs.CL2023

Lexical Retrieval Hypothesis in Multimodal Context

Po-Ya Angela Wang, Pin-Er Chen, Hsin-Yu Chou +2

Multimodal corpora have become an essential language resource for language science and grounded natural language processing (NLP) systems due to the growing need to understand and…

cs.CL2023

Exploring Affordance and Situated Meaning in Image Captions: A Multimodal Analysis

Pin-Er Chen, Po-Ya Angela Wang, Hsin-Yu Chou +2

This paper explores the grounding issue regarding multimodal semantic representation from a computational cognitive-linguistic view. We annotate images from the Flickr30k dataset w…

cs.CL2019★ 3 cited

A realistic and robust model for Chinese word segmentation

Chu-Ren Huang, Ting-Shuo Yo, Petr Simon +1

A realistic Chinese word segmentation tool must adapt to textual variations with minimal training input and yet robust enough to yield reliable segmentation result for all variants…