research
∙
05/19/2023
Deep Learning Approaches to Lexical Simplification: A Survey
Lexical Simplification (LS) is the task of replacing complex for simpler...
share
research
∙
05/03/2023
Natural language processing on customer note data
Automatic analysis of customer data for businesses is an area that is of...
research
∙
03/08/2023
Lexical Complexity Prediction: An Overview
The occurrence of unknown words in texts significantly hinders reading c...
research
∙
02/06/2023
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
We report findings of the TSAR-2022 shared task on multilingual lexical ...
research
∙
11/21/2022
Deanthropomorphising NLP: Can a Language Model Be Conscious?
This work is intended as a voice in the discussion over the recent claim...
research
∙
09/12/2022
Lexical Simplification Benchmarks for English, Portuguese, and Spanish
Even in highly-developed countries, as many as 15-30% of the population ...
research
∙
07/28/2021
Investigating Text Simplification Evaluation
Modern text simplification (TS) heavily relies on the availability of go...
research
∙
06/21/2021
Towards a corpus for credibility assessment in software practitioner blog articles
Blogs are a source of grey literature which are widely adopted by softwa...
research
∙
06/01/2021
SemEval-2021 Task 1: Lexical Complexity Prediction
This paper presents the results and main findings of SemEval-2021 Task 1...
research
∙
02/17/2021
Predicting Lexical Complexity in English Texts
The first step in most text simplification is to predict which words are...
research
∙
05/12/2020
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
Multiword expressions (MWEs) represent lexemes that should be treated as...
research
∙
03/16/2020
