Enhancing Automatic Readability Assessment with Verb Frame Features

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication2022 International Conference on Asian Language Processing (IALP)
EditorsRong Tong, Yanfeng Lu, Minghui Dong, Wengao Gong, Haizhou Li
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages413-418
ISBN (electronic)9781665476744
ISBN (print)978-1-6654-7675-1
Publication statusPublished - 2022

Publication series

NameInternational Conference on Asian Language Processing, IALP

Conference

Title2022 International Conference on Asian Language Processing (IALP 2022)
LocationCrowne Plaza Shenzhen Longgang City Centre (Shenzhen)
City"Shenzhen, China" & "Singapore"
Period27 - 28 October 2022

Abstract

Patterns of verb usage, as encoded in verb frame elements, have been shown to correlate with text readability. While automatic readability assessment models have incorporated a wide range of features on lexical, syntactic, semantic and discourse properties of a text, none of these features directly exploit the semantic information provided in verb frames. This paper investigates whether features based on semantic frames can improve the performance of Chinese readability assessment models. We conduct experiments with manually annotated verb frame elements in Mandarin VerbNet, including the use of non-core frame elements, subject omission, metaphoric usage and clause as verb argument. Experimental results on a corpus of Chinese texts, spanning twelve school grades, show that these frame features significantly raise readability assessment accuracy over a baseline model that relies on surface features only.

Research Area(s)

  • automatic readability assessment, Chinese, Mandarin VerbNet, verb frames

Citation Format(s)

Enhancing Automatic Readability Assessment with Verb Frame Features. / CAI, Tianyuan; LIM, Ho Hung; LEE, John S. Y. et al.
2022 International Conference on Asian Language Processing (IALP). ed. / Rong Tong; Yanfeng Lu; Minghui Dong; Wengao Gong; Haizhou Li. Institute of Electrical and Electronics Engineers, Inc., 2022. p. 413-418 (International Conference on Asian Language Processing, IALP).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review