Incorporating Multiword Expressions in Phrase Complexity Estimation

Sian Gooding, Shiva Taslimipoor, Ekaterina Kochmar


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.
Anthology ID:
2020.readi-1.3
Volume:
Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | READI | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
14–19
URL:
https://www.aclweb.org/anthology/2020.readi-1.3
DOI:
Bib Export formats:
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PDF:
https://www.aclweb.org/anthology/2020.readi-1.3.pdf

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