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Complex Word Identification
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Identifying difficult words or expressions in a text.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Difficult for Whom? A Study of Japanese Lexical Complexity
A User-Centered Evaluation of Spanish Text Simplification
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
One Size Does Not Fit All: The Case for Personalised Word Complexity Models
A Survey on Using Gaze Behaviour for Natural Language Processing
cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora
Predicting Lexical Complexity in English Texts: The Complex 2.0 Dataset
Cross-Lingual Transfer Learning for Complex Word Identification
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
Strong Baselines for Complex Word Identification across Multiple Languages
A Report on the Complex Word Identification Shared Task 2018
UnibucKernel: A kernel-based learning method for complex word identification
Complex Word Identification: Challenges in Data Annotation and System Performance
CLaC at SemEval-2016 Task 11: Exploring linguistic and psycho-linguistic Features for Complex Word Identification
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