Using Verb Frames for Text Difficulty Assessment

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the LREC International FrameNet Workshop 2020
Subtitle of host publicationTowards a Global, Multilingual FrameNet
PublisherELDA/ELRA
Pages56-62
ISBN (Electronic)9791095546580
Publication statusPublished - May 2020

Conference

TitleInternational FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet
Location
PlaceFrance
CityMarseille
Period11 - 16 May 2020

Link(s)

Abstract

This paper presents the first investigation on using semantic frames to assess text difficulty. Based on Mandarin VerbNet, a verbal semantic database that adopts a frame-based approach, we examine usage patterns of ten verbs in a corpus of graded Chinese texts. We identify a number of characteristics in texts at advanced grades: more frequent use of non-core frame elements; more frequent omission of some core frame elements; increased preference for noun phrases rather than clauses as verb arguments; and more frequent metaphoric usage. These characteristics can potentially be useful for automatic prediction of text readability

Research Area(s)

  • Mandarin VerbNet, verb frames, frame elements, readability

Citation Format(s)

Using Verb Frames for Text Difficulty Assessment. / Lee, John; Liu, Meichun; Cai, Tianyuan.

Proceedings of the LREC International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet. ELDA/ELRA, 2020. p. 56-62.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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