Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features

Kim Cheng Sheang


Abstract
The paper is about our experiments with Complex Word Identification system using deep learning approach with word embeddings and engineered features.
Anthology ID:
R19-2013
Volume:
Proceedings of the Student Research Workshop Associated with RANLP 2019
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
83–89
Language:
URL:
https://aclanthology.org/R19-2013
DOI:
10.26615/issn.2603-2821.2019_013
Bibkey:
Cite (ACL):
Kim Cheng Sheang. 2019. Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features. In Proceedings of the Student Research Workshop Associated with RANLP 2019, pages 83–89, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features (Sheang, RANLP 2019)
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PDF:
https://aclanthology.org/R19-2013.pdf