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 …
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 …
[图书][B] Automatic text simplification
H Saggion, G Hirst - 2017 - Springer
Automatic text simplification is a research field in computational linguistics that studies
methods and techniques to simplify textual content. Text simplification methods should …
methods and techniques to simplify textual content. Text simplification methods should …
A survey on lexical simplification
GH Paetzold, L Specia - Journal of Artificial Intelligence Research, 2017 - jair.org
Lexical Simplification is the process of replacing complex words in a given sentence with
simpler alternatives of equivalent meaning. This task has wide applicability both as an …
simpler alternatives of equivalent meaning. This task has wide applicability both as an …
A word-complexity lexicon and a neural readability ranking model for lexical simplification
M Maddela, W Xu - arXiv preprint arXiv:1810.05754, 2018 - arxiv.org
Current lexical simplification approaches rely heavily on heuristics and corpus level features
that do not always align with human judgment. We create a human-rated word-complexity …
that do not always align with human judgment. We create a human-rated word-complexity …
Lexical simplification with neural ranking
G Paetzold, L Specia - Proceedings of the 15th Conference of the …, 2017 - aclanthology.org
We present a new Lexical Simplification approach that exploits Neural Networks to learn
substitutions from the Newsela corpus-a large set of professionally produced simplifications …
substitutions from the Newsela corpus-a large set of professionally produced simplifications …
A survey on text simplification
P Sikka, V Mago - arXiv preprint arXiv:2008.08612, 2020 - arxiv.org
Text Simplification (TS) aims to reduce the linguistic complexity of content to make it easier
to understand. Research in TS has been of keen interest, especially as approaches to TS …
to understand. Research in TS has been of keen interest, especially as approaches to TS …
Complex word identification as a sequence labelling task
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 …
simplification and is a crucial first step in a simplification pipeline. It has been shown that …
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 …