Word Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 3
Calculate a numerical score for the semantic similarity between two words.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/casszhao/reagent
Efficient Estimation of Word Representations in Vector Space
https://github.com/chaneeh/Word2Vec_implementation
Efficient Estimation of Word Representations in Vector Space
https://github.com/chikalabouka/INF8225-TP4
Efficient Estimation of Word Representations in Vector Space
https://github.com/cjmay/word2vec
Efficient Estimation of Word Representations in Vector Space
https://github.com/commonsense/conceptnet-numberbatch
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
https://github.com/cui0523/Code6/tree/main/fasttext
https://github.com/currentsapi/fastlangid
https://github.com/dbaumgarten/FToDTF
https://github.com/deborausujono/word2vecpy
Efficient Estimation of Word Representations in Vector Space
https://github.com/dhammack/Word2VecExample
Efficient Estimation of Word Representations in Vector Space
https://github.com/divisionai/fastText
https://github.com/dmaloneynygc/continuousBagOfWords
Efficient Estimation of Word Representations in Vector Space
https://github.com/dmaloneynygc/skipGram
Efficient Estimation of Word Representations in Vector Space
https://github.com/dmlc/gluon-nlp
Efficient Estimation of Word Representations in Vector Space
https://github.com/dyashkir/todo-ideas-links
https://github.com/earthspecies/audio-embeddings
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
https://github.com/ericxsun/fastText
https://github.com/explosion/floret
https://github.com/gartland98/word2vec_basic
Efficient Estimation of Word Representations in Vector Space
https://github.com/ghlee0304/NLP-with-tensorflow-pytorch
Efficient Estimation of Word Representations in Vector Space
https://github.com/gladisor/TextGenerator
Efficient Estimation of Word Representations in Vector Space
https://github.com/graykode/nlp-tutorial
Efficient Estimation of Word Representations in Vector Space
https://github.com/harshvivek14/NLP-Word-Embedding-Techniques
Efficient Estimation of Word Representations in Vector Space
https://github.com/hufscapstone/Fast_text
https://github.com/ian-beaver/pycontractions
Efficient Estimation of Word Representations in Vector Space
https://github.com/ikergarcia1996/Iker-Garcia-Ferrero
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/imayachita/Unsupervised-Extrofitting
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
https://github.com/indix/whatthelang
https://github.com/jen1995/fastText
https://github.com/jeremycz/word-vectors
Efficient Estimation of Word Representations in Vector Space
https://github.com/jind11/word2vec-on-wikipedia
Efficient Estimation of Word Representations in Vector Space
https://github.com/jschulberg/NLP-Practicum
Efficient Estimation of Word Representations in Vector Space
https://github.com/jsedoc/SignedSpectralClustering
https://github.com/kdrl/SCNE
Efficient Estimation of Word Representations in Vector Space
https://github.com/kdrl/WNE
Efficient Estimation of Word Representations in Vector Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.