Papers with Code 아카이브
Information Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 33
- 보존된 평가 기록
- 17
Information retrieval is the task of ranking a list of documents or search results in response to a query
<span style="color:grey; opacity: 0.6">( Image credit: sudhanshumittal )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uclnlp/APE
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/ukplab/acl2022-impli
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
https://github.com/ungeimer/Etiquetadorv1
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/ungeimer/FLAT-TextTagger
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/ungeimer/FLAT-lite
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/ungeimer/TextTagger-Docker
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/unsuthee/VariationalDeepSemanticHashing
https://github.com/vectara/hallucination-leaderboard
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
https://github.com/vukbatanovic/SCStemmers
https://github.com/vyraun/Half-Size
Simple and Effective Dimensionality Reduction for Word Embeddings
https://github.com/wadoodabdul/clinical_ner_benchmark
https://github.com/winstonll/SynC
Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/winstonll/Synthetic_Population
Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/xfactlab/emnlp2023-damaging-retrieval
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/xhluca/bm25-benchmarks
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
https://github.com/xinwei666/mmgenerativeir
Autoregressive Search Engines: Generating Substrings as Document Identifiers
https://github.com/xlang-ai/instructor-embedding
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
https://github.com/xnancy/convai-transformer
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/xue-pai/FuxiCTR
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/y-ding/nurd-mlsys22-code
https://github.com/yachae/hello-world
https://github.com/yalsaffar/S-COLBERT
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
https://github.com/yang-ze-kang/PassageReranking
https://github.com/yangyucheng000/Papers/tree/main/MindSpore-Retrieval-augmented
https://github.com/ybayle/ISM2017
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
https://github.com/ybayle/ReproducibleResearchCode
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
https://github.com/ybayle/SMC2017
Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
https://github.com/yinyuan1227/strap-git
https://github.com/yongqyu/ranking_paragraphs_pytorch
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
https://github.com/ysglh/Task-Oriented-Dialogue-Dataset-Survey
https://github.com/yudhik11/MER-lyrics-Transformer
Transformer-based approach towards music emotion recognition from lyrics
https://github.com/yunhak0/muse
https://github.com/yzspku/CQTNet
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
https://github.com/zfj1998/CodeBert-Code2Text
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/zveryansky/textvec
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.