Lexical complexity prediction: An overview
The occurrence of unknown words in texts significantly hinders reading comprehension. To
improve accessibility for specific target populations, computational modeling has been …
improve accessibility for specific target populations, computational modeling has been …
Cyberbullying detection: Utilizing social media features
Cyberbullying has become a major problem around the world with the increasing usage of
social networks. In this direction, many studies are conducted to detect cyberbullying content …
social networks. In this direction, many studies are conducted to detect cyberbullying content …
A report on the complex word identification shared task 2018
We report the findings of the second Complex Word Identification (CWI) shared task
organized as part of the BEA workshop co-located with NAACL-HLT'2018. The second CWI …
organized as part of the BEA workshop co-located with NAACL-HLT'2018. The second CWI …
Semeval-2021 task 1: Lexical complexity prediction
This paper presents the results and main findings of SemEval-2021 Task 1-Lexical
Complexity Prediction. We provided participants with an augmented version of the CompLex …
Complexity Prediction. We provided participants with an augmented version of the CompLex …
The BEA 2024 shared task on the multilingual lexical simplification pipeline
We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
Complex: A new corpus for lexical complexity prediction from likert scale data
Predicting which words are considered hard to understand for a given target population is a
vital step in many NLP applications such as text simplification. This task is commonly …
vital step in many NLP applications such as text simplification. This task is commonly …
CAMB at CWI shared task 2018: Complex word identification with ensemble-based voting
This paper presents the winning systems we submitted to the Complex Word Identification
Shared Task 2018. We describe our best performing systems' implementations and discuss …
Shared Task 2018. We describe our best performing systems' implementations and discuss …
Multils: A multi-task lexical simplification framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
Gmu at mlsp 2024: Multilingual lexical simplification with transformer models
This paper presents GMU's submission to the Multilingual Lexical Simplification Pipeline
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
Complex word identification based on frequency in a learner corpus
We introduce the TMU systems for the Complex Word Identification (CWI) Shared Task
2018. TMU systems use random forest classifiers and regressors whose features are the …
2018. TMU systems use random forest classifiers and regressors whose features are the …