https://github.com/madhawav/MML
공식 코드Video Moment Localization using Object Evidence and Reverse Captioning
Papers with Code 아카이브
Sentence Embeddings
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mao-ku/ems
공식 코드EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning
https://github.com/marco-digio/twitter4sse
공식 코드https://github.com/maruker/vec2sent
공식 코드Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
https://github.com/matthewcym/gense
공식 코드Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
https://github.com/mdtux89/OpenNMT-py
공식 코드https://github.com/mdtux89/OpenNMT-py-AMR-to-text
공식 코드https://github.com/mdtux89/amr-eager-multilingual
공식 코드https://github.com/mdtux89/amr-evaluation
공식 코드https://github.com/medialab/twitter-incremental-clustering
공식 코드An Incremental Clustering Baseline for Event Detection on Twitter
https://github.com/megagonlabs/emu
공식 코드Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
https://github.com/microsoft/Distilled-Sentence-Embedding
공식 코드Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
https://github.com/minhtriet/gas_market
공식 코드Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
https://github.com/minnesotanlp/diversity-extraction-from-llms
공식 코드How Far Can We Extract Diverse Perspectives from Large Language Models?
https://github.com/mrpeerat/sct
공식 코드An Efficient Self-Supervised Cross-View Training For Sentence Embedding
https://github.com/mu-kindai/jcse
공식 코드JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
https://github.com/muennighoff/sgpt
공식 코드https://github.com/muyeby/AMR-Dialogue
공식 코드https://github.com/muyeby/amrbart
공식 코드https://github.com/namco0816/pt-bert
공식 코드https://github.com/namir0806/flag
공식 코드FLAG: Financial Long Document Classification via AMR-based GNN
https://github.com/naver/shine
공식 코드SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
https://github.com/nayohan/senticse
공식 코드https://github.com/ncbi-nlp/BioSentVec
공식 코드BioSentVec: creating sentence embeddings for biomedical texts
https://github.com/ncbi-nlp/BioWordVec
공식 코드BioSentVec: creating sentence embeddings for biomedical texts
https://github.com/nhhoang96/cof-cot
공식 코드https://github.com/nilesc/Long-Structured-Debate-Generation-and-Evaluation
공식 코드https://github.com/nishchalprasad/semi-supervised-stacked-encoder
공식 코드Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
https://github.com/ojrlopez27/nl-service-composition
공식 코드NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings
https://github.com/opensum/bigae
공식 코드https://github.com/osome-iu/Rematch-RARE
공식 코드https://github.com/perceptiveshawty/compcse
공식 코드https://github.com/pinkeshbadjatiya/neuralTextSegmentation
공식 코드https://github.com/pkunlp-icler/amr_reverse_graph_linearization
공식 코드https://github.com/pkunlp-icler/atp
공식 코드ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
https://github.com/pkunlp-icler/tsar
공식 코드A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.