Incorporating Multiword Expressions in Phrase Complexity Estimation

Sian Gooding; Shiva Taslimipoor; Ekaterina Kochmar

Incorporating Multiword Expressions in Phrase Complexity Estimation

Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar

Department of Computer Science

University of Cambridge

Research output: Contribution to conference › Paper › peer-review

Abstract

Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks. However, research on the use of MWEs in lexical complexity assessment and simplification is still an under-explored area. In this paper, we propose a text complexity assessment system for English, which incorporates MWE identification. We show that detecting MWEs using state-of-the-art systems improves predicting complexity on an established lexical complexity dataset.

Original language	English
Pages	14
Number of pages	19
Publication status	Published - 1 May 2020
Event	READI2020: 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties - Virtual, Marseille, France Duration: 16 May 2020 → 16 May 2020

Workshop

Workshop	READI2020
Abbreviated title	READI2020
Country/Territory	France
City	Marseille
Period	16/05/20 → 16/05/20

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https://www.aclweb.org/anthology/2020.readi-1.3.pdf

Cite this

@conference{87f340032f864444a3ec21879ff9eb85,

title = "Incorporating Multiword Expressions in Phrase Complexity Estimation",

abstract = "Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks. However, research on the use of MWEs in lexical complexity assessment and simplification is still an under-explored area. In this paper, we propose a text complexity assessment system for English, which incorporates MWE identification. We show that detecting MWEs using state-of-the-art systems improves predicting complexity on an established lexical complexity dataset.",

author = "Sian Gooding and Shiva Taslimipoor and Ekaterina Kochmar",

year = "2020",

month = may,

day = "1",

language = "English",

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T1 - Incorporating Multiword Expressions in Phrase Complexity Estimation

AU - Gooding, Sian

AU - Taslimipoor, Shiva

AU - Kochmar, Ekaterina

PY - 2020/5/1

Y1 - 2020/5/1

N2 - Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks. However, research on the use of MWEs in lexical complexity assessment and simplification is still an under-explored area. In this paper, we propose a text complexity assessment system for English, which incorporates MWE identification. We show that detecting MWEs using state-of-the-art systems improves predicting complexity on an established lexical complexity dataset.

AB - Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks. However, research on the use of MWEs in lexical complexity assessment and simplification is still an under-explored area. In this paper, we propose a text complexity assessment system for English, which incorporates MWE identification. We show that detecting MWEs using state-of-the-art systems improves predicting complexity on an established lexical complexity dataset.

M3 - Paper

SP - 14

T2 - READI2020

Y2 - 16 May 2020 through 16 May 2020

ER -

Incorporating Multiword Expressions in Phrase Complexity Estimation

Abstract

Workshop

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Cite this