Search Results for author: Chak Yan Yeung

Found 10 papers, 0 papers with code

A Dataset for Investigating the Impact of Feedback on Student Revision Outcome

no code implementations LREC 2020 Ildiko Pilan, John Lee, Chak Yan Yeung, Jonathan Webster

The dataset consists of student-written sentences in their original and revised versions with teacher feedback provided for the errors.

Personalized Substitution Ranking for Lexical Simplification

no code implementations WS 2019 John Lee, Chak Yan Yeung

In the typical LS pipeline, the Substitution Ranking step determines the best substitution out of a set of candidates.

Lexical Simplification

Personalizing Lexical Simplification

no code implementations COLING 2018 John Lee, Chak Yan Yeung

A lexical simplification (LS) system aims to substitute complex words with simple words in a text, while preserving its meaning and grammaticality.

Complex Word Identification Lexical Simplification

Personalized Text Retrieval for Learners of Chinese as a Foreign Language

no code implementations COLING 2018 Chak Yan Yeung, John Lee

This paper describes a personalized text retrieval algorithm that helps language learners select the most suitable reading material in terms of vocabulary complexity.

Active Learning Complex Word Identification

Identifying Speakers and Listeners of Quoted Speech in Literary Works

no code implementations IJCNLP 2017 Chak Yan Yeung, John Lee

We present the first study that evaluates both speaker and listener identification for direct speech in literary texts.

Speaker Identification

An Annotated Corpus of Direct Speech

no code implementations LREC 2016 John Lee, Chak Yan Yeung

We propose a scheme for annotating direct speech in literary texts, based on the Text Encoding Initiative (TEI) and the coreference annotation guidelines from the Message Understanding Conference (MUC).

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