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Lexical Complexity Prediction

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Aadil101/BigGreen-at-LCP-2021

공식 코드

BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models

https://github.com/abhi1nandy2/CS60075-Team-2-Task-1

공식 코드

cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora

https://github.com/dslaborg/tcc2022

공식 코드

Automatic Readability Assessment of German Sentences with Transformer Ensembles

https://github.com/naist-nlp/jalecon

공식 코드

Japanese Lexical Complexity for Non-Native Readers: A New Dataset

https://github.com/naist-nlp/multils-japanese

공식 코드

Difficult for Whom? A Study of Japanese Lexical Complexity

https://github.com/naist-nlp/tubelex

공식 코드

Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?

https://github.com/neilrs123/Lexical-Complexity-Prediction

공식 코드

IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task

https://github.com/razvanalex-phd/cwi_llm

공식 코드

Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups

https://github.com/gotutiyan/jalecon_baseline

Japanese Lexical Complexity for Non-Native Readers: A New Dataset

https://github.com/suryasuresh91/Lexical-Complexity-Prediction

cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.