SOTAVerified

Lexical Simplification

The goal of Lexical Simplification is to replace complex words (typically words that are used less often in language and are therefore less familiar to readers) with their simpler synonyms, without infringing the grammaticality and changing the meaning of the text.

Source: Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Papers

Showing 91100 of 147 papers

TitleStatusHype
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning0
LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles0
MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for ComplexWord Identification0
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders0
MAZA at SemEval-2016 Task 11: Detecting Lexical Complexity Using a Decision Stump Meta-Classifier0
Metaheuristic Approaches to Lexical Substitution and Simplification0
Multilingual and Cross-Lingual Complex Word Identification0
MultiLS: A Multi-task Lexical Simplification Framework0
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish0
MUSST: A Multilingual Syntactic Simplification Tool0
Show:102550
← PrevPage 10 of 15Next →

No leaderboard results yet.