lexical complexity prediction

RALS: Resources and Baselines for Romanian Automatic Lexical Simplification EMNLP 2025 BengaliLCP: A Dataset for Lexical Complexity Prediction in the Bengali Texts COLING 2024 CompLex-ZH: A New Dataset for Lexical Complexity Prediction in Mandarin and Cantonese EMNLP 2024 Difficult for Whom? A Study of Japanese Lexical Complexity EMNLP 2024 Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024 An Evaluation of Binary Comparative Lexical Complexity Models NAACL 2022 Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction SemEval 2021 CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way SemEval 2021 cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora SemEval 2021 CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction SemEval 2021 CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity SemEval 2021 DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach SemEval 2021 hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity SemEval 2021 IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction SemEval 2021 katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English SemEval 2021 LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity SemEval 2021 OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction SemEval 2021 RS_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction SemEval 2021 Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings SemEval 2021 TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity SemEval 2021 UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction SemEval 2021 UTFPR at SemEval-2021 Task 1: Complexity Prediction by Combining BERT Vectors and Classic Features SemEval 2021