https://github.com/Aadil101/BigGreen-at-LCP-2021
공식 코드BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Lexical analysis is the process of converting a sequence of characters into a sequence of tokens (strings with an assigned and thus identified meaning). (Source: Adapted from Wikipedia)
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
N-LTP: An Open-source Neural Language Technology Platform for Chinese
American cultural regions mapped through the lexical analysis of social media
Automatic Readability Assessment of German Sentences with Transformer Ensembles
Japanese Lexical Complexity for Non-Native Readers: A New Dataset
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?
IITK@LCP at SemEval 2021 Task 1: Classification for Lexical Complexity Regression Task
Monitoring Term Drift Based on Semantic Consistency in an Evolving Vector Field
Japanese Lexical Complexity for Non-Native Readers: A New Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.