https://bitbucket.org/TomKenter/siamese-cbow
공식 코드Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
Papers with Code 아카이브
Sentence Embeddings
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/dascim/acl2018_abssumm
공식 코드https://bitbucket.org/st157585/emotion_transfer
공식 코드Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
https://github.com/2000zrl/lcsa_c2slr_srm
공식 코드Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
https://github.com/4ai/bellm
공식 코드BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
https://github.com/AI4Bharat/Pralekha
공식 코드https://github.com/AliNajafi1998/ComStream
공식 코드ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
https://github.com/Amazing-J/structural-transformer
공식 코드Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
https://github.com/BIT-ENGD/codeclassprompt
공식 코드https://github.com/Babylonpartners/decoding-decoders
공식 코드Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
https://github.com/BinWang28/BERT_Sentence_Embedding
공식 코드SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
https://github.com/BinWang28/SBERT-WK-Sentence-Embedding
공식 코드SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
https://github.com/BinWang28/Sentence-Embedding-S3E
공식 코드https://github.com/DabiriAghdam/SimMark
공식 코드SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
https://github.com/DannyMerkx/caption2image
공식 코드Learning semantic sentence representations from visually grounded language without lexical knowledge
https://github.com/DannyMerkx/speech2image
공식 코드https://github.com/Danqi7/584-final
공식 코드https://github.com/DeepK/distance-embed
공식 코드Unsupervised Sentence-embeddings by Manifold Approximation and Projection
https://github.com/Disiok/poetry-seq2seq
공식 코드Hierarchical Attention: What Really Counts in Various NLP Tasks
https://github.com/EddCBen/Classifying-Textual-Data-with-pretrained-Vision-Models-through-Transfer-Learning-and-Data-Transforms
공식 코드https://github.com/Emvista/Triple_AMR_Parser
공식 코드https://github.com/F-Almeman/GEAR_RD
공식 코드GEAR: A Simple GENERATE, EMBED, AVERAGE AND RANK Approach for Unsupervised Reverse Dictionary
https://github.com/Heidelberg-NLP/MFscore
공식 코드Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
https://github.com/Heidelberg-NLP/amr-metric-suite
공식 코드https://github.com/Heidelberg-NLP/simple-xamr
공식 코드Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing
https://github.com/Helsinki-NLP/HBMP
공식 코드Sentence Embeddings in NLI with Iterative Refinement Encoders
https://github.com/IBM/WordMoversEmbeddings
공식 코드https://github.com/IBM/kbqa-relation-linking
공식 코드Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
https://github.com/IBM/transition-amr-parser
공식 코드https://github.com/JohnGiorgi/DeCLUTR
공식 코드DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
https://github.com/Jun-jie-Huang/WhiteningBERT
공식 코드WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
https://github.com/LCS2-IIITD/Hyphen
공식 코드https://github.com/LanaChen0/Predict_News
공식 코드Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
https://github.com/Liang-Qiu/SVRNN-dialogues
공식 코드Structured Attention for Unsupervised Dialogue Structure Induction
https://github.com/LittleGuoKe/ConceptFERE
공식 코드https://github.com/MilaNLProc/contextualized-topic-models
공식 코드Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.