Papers with Code 아카이브
Word Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 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.
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https://github.com/qq345736500/sarcasm
Efficient Estimation of Word Representations in Vector Space
https://github.com/ragerri/cluster-preprocessing
Efficient Estimation of Word Representations in Vector Space
https://github.com/rajshrivastava/Skipgram
Efficient Estimation of Word Representations in Vector Space
https://github.com/rajshrivastava/Word-embeddings
Efficient Estimation of Word Representations in Vector Space
https://github.com/ringbdstack/socialed
Efficient Estimation of Word Representations in Vector Space
https://github.com/rmenegaux/fastDNA
https://github.com/rohith2506/word_embeddings
Efficient Estimation of Word Representations in Vector Space
https://github.com/romik9999/fasttext-1925f09ed3
https://github.com/rsreetech/Word2VecCustomModel
Efficient Estimation of Word Representations in Vector Space
https://github.com/s1998/All-but-the-top
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
https://github.com/selimseker/logogram-language-generator
https://github.com/singhmanish979/Text-Anlaytics
Efficient Estimation of Word Representations in Vector Space
https://github.com/smc-x/ms-skipgram
Efficient Estimation of Word Representations in Vector Space
https://github.com/social-machines/RadioTalk
Efficient Estimation of Word Representations in Vector Space
https://github.com/soumyaumass/umwe
https://github.com/styfeng/tinydialogues
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
https://github.com/tarahb2103/Skipgram_CS224n_Pytorch
Efficient Estimation of Word Representations in Vector Space
https://github.com/tree-park/Word2Vec
Efficient Estimation of Word Representations in Vector Space
https://github.com/trietnm2/sent2vec4j
https://github.com/tshev/faster-FastText
https://github.com/ulf1/augtxt
https://github.com/vackosar/fasttext-vector-norms-and-oov-words
https://github.com/veekaybee/what_are_embeddings
Efficient Estimation of Word Representations in Vector Space
https://github.com/vinhkhuc/JFastText
https://github.com/vyraun/Half-Size
Simple and Effective Dimensionality Reduction for Word Embeddings
https://github.com/wflying000/word2vec
Efficient Estimation of Word Representations in Vector Space
https://github.com/woctezuma/steam-descriptions
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
https://github.com/wyfish/fastText
https://github.com/xpitfire/symbolicai
Efficient Estimation of Word Representations in Vector Space
https://github.com/xuzhezhaozhao/fastText_reading
https://github.com/yoonkim/lstm-char-cnn
Compositional Morphology for Word Representations and Language Modelling
https://github.com/zep283/Semantic_Similarity
https://github.com/zhang2010hao/cw2vec-pytorch
Efficient Estimation of Word Representations in Vector Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.