Papers with Code 아카이브
Sentence
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mtanti/mtanti-phd
공식 코드https://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/muhaochen/bilingual_dictionaries
공식 코드https://github.com/mul-hjh/acsa
공식 코드Asymmetric Cross-Scale Alignment for Text-Based Person Search
https://github.com/multilexsum/dataset
공식 코드Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities
https://github.com/munzerdw/gen3dqa
공식 코드Generating Context-Aware Natural Answers for Questions in 3D Scenes
https://github.com/muyeby/AMR-Backparsing
공식 코드https://github.com/muyeby/AMR-Dialogue
공식 코드https://github.com/muyeby/RGAT-ABSA
공식 코드https://github.com/mynlp/ccg2lambda
공식 코드Determining Semantic Textual Similarity using Natural Deduction Proofs
https://github.com/mynlp/speechparser
공식 코드https://github.com/naaclubert/ubert
공식 코드UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus
https://github.com/nadgeri14/KGPool
공식 코드KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
https://github.com/naist-nlp/gec-attribute
공식 코드https://github.com/naliuanna/mdre
공식 코드https://github.com/namco0816/pt-bert
공식 코드https://github.com/nanguoshun/LSR
공식 코드Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
https://github.com/naumannaeem/bea_2025
공식 코드https://github.com/navana-tech/baseline_recipe_is21s_indic_asr_challenge
공식 코드Multilingual and code-switching ASR challenges for low resource Indian languages
https://github.com/naver/shine
공식 코드SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
https://github.com/nawta/Dynamik_experiment
공식 코드Dynamik: Syntactically-Driven Dynamic Font Sizing for Emphasis of Key Information
https://github.com/nayakt/SENF4DSRE
공식 코드Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering
https://github.com/nayeon7lee/factualityprompt
공식 코드Factuality Enhanced Language Models for Open-Ended Text Generation
https://github.com/nayohan/senticse
공식 코드https://github.com/nbatfai/amminadab
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/hezron
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/isaac
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/jacob
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/judah
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/perez
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/ram
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://github.com/nbatfai/samu
공식 코드A disembodied developmental robotic agent called Samu Bátfai
https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.