https://github.com/hazel1994/visually_grounded_word_embeddings_2
공식 코드Language with Vision: a Study on Grounded Word and Sentence Embeddings
Papers with Code 아카이브
Word Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/iesl/word2box
공식 코드Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
https://github.com/ikergarcia1996/MVM-Embeddings
공식 코드A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/ir2718/similarity-embedding-quality
공식 코드Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
https://github.com/jabalazs/gating
공식 코드Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
https://github.com/jivnesh/sanskritshala
공식 코드https://github.com/jmzhao/bag-of-substring-embedder
공식 코드https://github.com/jmzhao/pbos
공식 코드PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding
https://github.com/kiyama-hajime/acss-simmat
공식 코드Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices
https://github.com/koc-lab/imparting-interpretability
공식 코드Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
https://github.com/koclab/imparting-interpretability
공식 코드Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
https://github.com/lateral/minkowski
공식 코드https://github.com/lhryang/emphasis-selection
공식 코드Sentence Structure and Word Relationship Modeling for Emphasis Selection
https://github.com/liangyuxin42/weighted-removal
공식 코드Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
https://github.com/livnlp/cosine-discounting
공식 코드Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting
https://github.com/lucy3/Graphs-Embeddings
공식 코드https://github.com/luosx18/biomedical-sentence-aligner
공식 코드Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
https://github.com/mahesh-ak/phyloval
공식 코드A Likelihood Ratio Test of Genetic Relationship among Languages
https://github.com/mbiesialska/wgan-postspec
공식 코드Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
https://github.com/mindspore-courses/DeepNLP-models-MindSpore
공식 코드Efficient Estimation of Word Representations in Vector Space
https://github.com/my-yy/s2v_rc
공식 코드https://github.com/northanapon/dict-definition
공식 코드Definition Modeling: Learning to define word embeddings in natural language
https://github.com/oavraham1/ag-evaluation
공식 코드https://github.com/pedrocolon93/retrogan
공식 코드https://github.com/pgurunath/confusion2vec_2.0
공식 코드Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
https://github.com/rtmdrr/replicability-analysis-NLP
공식 코드Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
https://github.com/satya77/Entity_Embedding
공식 코드https://github.com/shaoxia57/Bias_in_Gendered_Languages
공식 코드https://github.com/sharecodesubmission/weighted_product_manifold
공식 코드Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
https://github.com/shihaoji/wordrank
공식 코드https://github.com/somethingx02/topical_wordvec_models
공식 코드A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings
https://github.com/spilioeve/Definition-Frames
공식 코드Definition Frames: Using Definitions for Hybrid Concept Representations
https://github.com/thunlp/COS960
공식 코드https://github.com/tmu-nlp/JapaneseWordSimilarityDataset
공식 코드https://github.com/truas/MSSA
공식 코드Multi-sense embeddings through a word sense disambiguation process
https://github.com/tttthomasssss/apt-toolkit
공식 코드Improving Sparse Word Representations with Distributional Inference for Semantic Composition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.