SOTAVerified

Lexical Complexity Prediction

Predicting the complexity of a word/multi-word expression in a sentence.

Papers

Showing 2644 of 44 papers

TitleStatusHype
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task0
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction0
katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English0
LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures0
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction0
Lexical Complexity Prediction: An Overview0
MultiLS: A Multi-task Lexical Simplification Framework0
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish0
ANDI at SemEval-2021 Task 1: Predicting complexity in context using distributional models, behavioural norms, and lexical resourcesCode0
Difficult for Whom? A Study of Japanese Lexical ComplexityCode0
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corporaCode0
Automatic Readability Assessment of German Sentences with Transformer EnsemblesCode0
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?Code0
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly ModelsCode0
cs60075\_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corporaCode0
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression TaskCode0
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale DataCode0
Japanese Lexical Complexity for Non-Native Readers: A New DatasetCode0
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain SetupsCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.