Complex Word Identification

4 papers with code • 0 benchmarks • 1 datasets

Identifying difficult words or expressions in a text.

Datasets


Most implemented papers

Strong Baselines for Complex Word Identification across Multiple Languages

sheffieldnlp/cwi NAACL 2019

Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience.

Complex Word Identification as a Sequence Labelling Task

siangooding/cwi ACL 2019

Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline.

CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data

neilrs123/Lexical-Complexity-Prediction 16 Mar 2020

With a few exceptions, previous studies have approached the task as a binary classification task in which systems predict a complexity value (complex vs. non-complex) for a set of target words in a text.

Detecting Multiword Expression Type Helps Lexical Complexity Assessment

ekochmar/MWE-CWI LREC 2020

In this work, we re-annotate the Complex Word Identification Shared Task 2018 dataset of Yimam et al. (2017), which provides complexity scores for a range of lexemes, with the types of MWEs.