activity
20012022
most citedWhat a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets

8 citations · 30 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CL2022

Cross-strait Variations on Two Near-synonymous Loanwords xie2shang1 and tan2pan4: A Corpus-based Comparative Study

Yueyue Huang, Chu-Ren Huang

This study attempts to investigate cross-strait variations on two typical synonymous loanwords in Chinese, i.e. xie2shang1 and tan2pan4, drawn on MARVS theory. Through a comparativ…

cs.CL2021★ 1 cited

Automatic Analysis of Linguistic Features in Journal Articles of Different Academic Impacts with Feature Engineering Techniques

Siyu Lei, Ruiying Yang, Chu-Ren Huang

English research articles (RAs) are an essential genre in academia, so the attempts to employ NLP to assist the development of academic writing ability have received considerable a…

cs.CL2021★ 1 cited

Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features

Andreas Liesenfeld, Gábor Parti, Yu-Yin Hsu +1

This paper examines gender and age salience and (stereo)typicality in British English talk with the aim to predict gender and age categories based on lexical, phrasal and turn-taki…

cs.CL2019★ 3 cited

A Structured Distributional Model of Sentence Meaning and Processing

Emmanuele Chersoni, Enrico Santus, Ludovica Pannitto +3

Most compositional distributional semantic models represent sentence meaning with a single vector. In this paper, we propose a Structured Distributional Model (SDM) that combines 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…

cs.CL2018★ 1 cited

Dual Memory Network Model for Biased Product Review Classification

Yunfei Long, Mingyu Ma, Qin Lu +2

In sentiment analysis (SA) of product reviews, both user and product information are proven to be useful. Current tasks handle user profile and product information in a unified mod…