https://github.com/uhh-lt/path2vec
공식 코드Making Fast Graph-based Algorithms with Graph Metric Embeddings
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Calculate a numerical score for the semantic similarity between two words.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
Definition Modeling: Learning to define word embeddings in natural language
HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models
Unsupervised Cross-lingual Transfer of Word Embedding Spaces
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.