@inproceedings{lee-etal-2020-using,
title = "Using Verb Frames for Text Difficulty Assessment",
author = "Lee, John and
Liu, Meichun and
Cai, Tianyuan",
editor = "Torrent, Tiago T. and
Baker, Collin F. and
Czulo, Oliver and
Ohara, Kyoko and
Petruck, Miriam R. L.",
booktitle = "Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.framenet-1.8",
pages = "56--62",
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.",
language = "English",
ISBN = "979-10-95546-58-0",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="lee-etal-2020-using">
<titleInfo>
<title>Using Verb Frames for Text Difficulty Assessment</title>
</titleInfo>
<name type="personal">
<namePart type="given">John</namePart>
<namePart type="family">Lee</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Meichun</namePart>
<namePart type="family">Liu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tianyuan</namePart>
<namePart type="family">Cai</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<language>
<languageTerm type="text">English</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet</title>
</titleInfo>
<name type="personal">
<namePart type="given">Tiago</namePart>
<namePart type="given">T</namePart>
<namePart type="family">Torrent</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Collin</namePart>
<namePart type="given">F</namePart>
<namePart type="family">Baker</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Oliver</namePart>
<namePart type="family">Czulo</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kyoko</namePart>
<namePart type="family">Ohara</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Miriam</namePart>
<namePart type="given">R</namePart>
<namePart type="given">L</namePart>
<namePart type="family">Petruck</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>European Language Resources Association</publisher>
<place>
<placeTerm type="text">Marseille, France</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-10-95546-58-0</identifier>
</relatedItem>
<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.</abstract>
<identifier type="citekey">lee-etal-2020-using</identifier>
<location>
<url>https://aclanthology.org/2020.framenet-1.8</url>
</location>
<part>
<date>2020-05</date>
<extent unit="page">
<start>56</start>
<end>62</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Using Verb Frames for Text Difficulty Assessment
%A Lee, John
%A Liu, Meichun
%A Cai, Tianyuan
%Y Torrent, Tiago T.
%Y Baker, Collin F.
%Y Czulo, Oliver
%Y Ohara, Kyoko
%Y Petruck, Miriam R. L.
%S Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-58-0
%G English
%F lee-etal-2020-using
%X 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.
%U https://aclanthology.org/2020.framenet-1.8
%P 56-62
Markdown (Informal)
[Using Verb Frames for Text Difficulty Assessment](https://aclanthology.org/2020.framenet-1.8) (Lee et al., Framenet 2020)
ACL
- John Lee, Meichun Liu, and Tianyuan Cai. 2020. Using Verb Frames for Text Difficulty Assessment. In Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 56–62, Marseille, France. European Language Resources Association.