Complex Word Identification
5 papers with code • 0 benchmarks • 1 datasets
Identifying difficult words or expressions in a text.
Benchmarks
These leaderboards are used to track progress in Complex Word Identification
Latest papers
A User-Centered Evaluation of Spanish Text Simplification
We present an evaluation of text simplification (TS) in Spanish for a production system, by means of two corpora focused in both complex-sentence and complex-word identification.
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
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.
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
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.
Complex Word Identification as a Sequence Labelling Task
Complex Word Identification (CWI) is concerned with detection of words in need of simplification and is a crucial first step in a simplification pipeline.
Strong Baselines for Complex Word Identification across Multiple Languages
Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience.