@inproceedings{gooding-kochmar-2019-complex,
title = "Complex Word Identification as a Sequence Labelling Task",
author = "Gooding, Sian and
Kochmar, Ekaterina",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-1109",
doi = "10.18653/v1/P19-1109",
pages = "1148--1153",
abstract = "Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline. It has been shown that reliable CWI systems considerably improve text simplification. However, most CWI systems to date address the task on a word-by-word basis, not taking the context into account. In this paper, we present a novel approach to CWI based on sequence modelling. Our system is capable of performing CWI in context, does not require extensive feature engineering and outperforms state-of-the-art systems on this task.",
}
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<abstract>Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline. It has been shown that reliable CWI systems considerably improve text simplification. However, most CWI systems to date address the task on a word-by-word basis, not taking the context into account. In this paper, we present a novel approach to CWI based on sequence modelling. Our system is capable of performing CWI in context, does not require extensive feature engineering and outperforms state-of-the-art systems on this task.</abstract>
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%0 Conference Proceedings
%T Complex Word Identification as a Sequence Labelling Task
%A Gooding, Sian
%A Kochmar, Ekaterina
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 jul
%I Association for Computational Linguistics
%C Florence, Italy
%F gooding-kochmar-2019-complex
%X Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline. It has been shown that reliable CWI systems considerably improve text simplification. However, most CWI systems to date address the task on a word-by-word basis, not taking the context into account. In this paper, we present a novel approach to CWI based on sequence modelling. Our system is capable of performing CWI in context, does not require extensive feature engineering and outperforms state-of-the-art systems on this task.
%R 10.18653/v1/P19-1109
%U https://aclanthology.org/P19-1109
%U https://doi.org/10.18653/v1/P19-1109
%P 1148-1153
Markdown (Informal)
[Complex Word Identification as a Sequence Labelling Task](https://aclanthology.org/P19-1109) (Gooding & Kochmar, ACL 2019)
ACL