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Sentence Embeddings
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/google-research/google-research
공식 코드Toward Better Storylines with Sentence-Level Language Models
https://github.com/goru001/inltk
공식 코드https://github.com/guotong1988/Semantic-Tree-Search
공식 코드Revisiting Semantic Representation and Tree Search for Similar Question Retrieval
https://github.com/h-aldarmaki/sent_translation_retrieval
공식 코드https://github.com/h-tayyarmadabushi/semeval_2022_task2-idiomaticity
공식 코드SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
https://github.com/hassanhub/MultiGrounding
공식 코드Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
https://github.com/hazel1994/visually_grounded_word_embeddings_2
공식 코드Language with Vision: a Study on Grounded Word and Sentence Embeddings
https://github.com/headacheboy/cross-lingual-amr-parsing
공식 코드Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
https://github.com/heavenhellchen/recse
공식 코드reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
https://github.com/hesfahanizadeh/neuralinformationshaping
공식 코드TexShape: Information Theoretic Sentence Embedding for Language Models
https://github.com/heshuting555/dshmp
공식 코드Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
https://github.com/hiarsal/dae-gan
공식 코드DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
https://github.com/hkust-knowcomp/geia
공식 코드https://github.com/hkust-nlp/syncse
공식 코드https://github.com/hly1998/RankingSentenceGeneration
공식 코드Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
https://github.com/hongwang600/Lifelong_Relation_Detection
공식 코드Sentence Embedding Alignment for Lifelong Relation Extraction
https://github.com/hppRC/defsent
공식 코드https://github.com/hpprc/simple-simcse-ja
공식 코드https://github.com/huawei-noah/noah-research
공식 코드https://github.com/huawei-noah/noah-research/tree/master/xero_align
공식 코드https://github.com/huiyegit/matchxml
공식 코드MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
https://github.com/hyintell/topicx
공식 코드https://github.com/hyp1231/amazonreviews2023
공식 코드Bridging Language and Items for Retrieval and Recommendation
https://github.com/hyu-nlp/hyper-cl
공식 코드Hyper-CL: Conditioning Sentence Representations with Hypernetworks
https://github.com/ibm/graph_ensemble_learning
공식 코드https://github.com/iclr2020-anonymous1/role-learner
공식 코드Discovering the Compositional Structure of Vector Representations with Role Learning Networks
https://github.com/idiap/dialog2flow
공식 코드https://github.com/idramalab/iDRAMA-scored-2024
공식 코드iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
https://github.com/imatge-upc/vqa-2016-cvprw
공식 코드https://github.com/ir2718/similarity-embedding-quality
공식 코드Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
https://github.com/ishita-dg/ScrambleTests
공식 코드https://github.com/isvy08/usdp
공식 코드https://github.com/ixomaxip/hasoc
공식 코드https://github.com/jacklxc/ParagraphJointModel
공식 코드A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
https://github.com/jacksonwuxs/noppa
공식 코드NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.