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
Venue:
READI
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
14–19
Language:
English
URL:
https://aclanthology.org/2020.readi-1.3
DOI:
Bibkey:
Cite (ACL):
Sian Gooding, Shiva Taslimipoor, and Ekaterina Kochmar. 2020. Incorporating Multiword Expressions in Phrase Complexity Estimation. In Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI), pages 14–19, Marseille, France. European Language Resources Association.
Cite (Informal):
Incorporating Multiword Expressions in Phrase Complexity Estimation (Gooding et al., READI 2020)
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PDF:
https://preview.aclanthology.org/starsem-semeval-split/2020.readi-1.3.pdf