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Complex Word Identification

Identifying difficult words or expressions in a text.

Papers

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Showing 1–50 of 67 papers

TitleStatusHype
Detecting Multiword Expression Type Helps Lexical Complexity AssessmentCode0
Difficult for Whom? A Study of Japanese Lexical ComplexityCode0
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain SetupsCode0
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corporaCode0
A User-Centered Evaluation of Spanish Text SimplificationCode0
Complex Word Identification as a Sequence Labelling TaskCode0
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale DataCode0
Strong Baselines for Complex Word Identification across Multiple LanguagesCode0
Comparative judgments are more consistent than binary classification for labelling word complexity—0
CompLex --- A New Corpus for Lexical Complexity Prediction from Likert Scale Data—0
Complex Word Identification Based on Frequency in a Learner Corpus—0
Complex Word Identification: Challenges in Data Annotation and System Performance—0
Complex Word Identification: Convolutional Neural Network vs. Feature Engineering—0
Complex Word Identification in Vietnamese: Towards Vietnamese Text Simplification—0
Complex Word Identification Using Character n-grams—0
Cross-lingual complex word identification with multitask learning—0
Cross-Lingual Transfer Learning for Complex Word Identification—0
CWID-hi: A Dataset for Complex Word Identification in Hindi Text—0
CWIG3G2 - Complex Word Identification Task across Three Text Genres and Two User Groups—0
Deep Learning Architecture for Complex Word Identification—0
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification—0
Garuda \& Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models—0
HMC at SemEval-2016 Task 11: Identifying Complex Words Using Depth-limited Decision Trees—0
IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction—0
IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification—0
Interpreting Neural CWI Classifiers' Weights as Vocabulary Size—0
JU\_NLP at SemEval-2016 Task 11: Identifying Complex Words in a Sentence—0
LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task—0
Lexical Simplification with Neural Ranking—0
LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles—0
MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for ComplexWord Identification—0
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification—0
MAZA at SemEval-2016 Task 11: Detecting Lexical Complexity Using a Decision Stump Meta-Classifier—0
Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features—0
Multilingual and Cross-Lingual Complex Word Identification—0
Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features—0
New Evaluation Paradigm for Lexical Simplification—0
NILC at CWI 2018: Exploring Feature Engineering and Feature Learning—0
NT2Lex: A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet—0
One Size Does Not Fit All: The Case for Personalised Word Complexity Models—0
Personalized Text Retrieval for Learners of Chinese as a Foreign Language—0
Personalizing Lexical Simplification—0
PLUJAGH at SemEval-2016 Task 11: Simple System for Complex Word Identification—0
Pomona at SemEval-2016 Task 11: Predicting Word Complexity Based on Corpus Frequency—0
Predicting Lexical Complexity in English Texts: The Complex 2.0 Dataset—0
Reliable Lexical Simplification for Non-Native Speakers—0
SB@GU at the Complex Word Identification 2018 Shared Task—0
SeCoDa: Sense Complexity Dataset—0
SemEval 2016 Task 11: Complex Word Identification—0
Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess—0
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