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/jongwooko/distillm
https://github.com/jramcast/music-genre-classification-audioset
Machine learning for music genre: multifaceted review and experimentation with audioset
https://github.com/jsnouffer/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/julian-risch/PatentMatch-FARM
PatentMatch: A Dataset for Matching Patent Claims & Prior Art
https://github.com/junnyu/dpr_paddle
https://github.com/junwang23/deepdirtycodes
A Critical Review of Recurrent Neural Networks for Sequence Learning
https://github.com/keunwoochoi/dl4mir
https://github.com/kevin-rn/Efficient-Fact-checking
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
https://github.com/kevinlu1248/pyate
ATR4S: Toolkit with State-of-the-art Automatic Terms Recognition Methods in Scala
https://github.com/kewin1807/table-recognition
https://github.com/khui/copacrr
PACRR: A Position-Aware Neural IR Model for Relevance Matching
https://github.com/khui/repacrr
PACRR: A Position-Aware Neural IR Model for Relevance Matching
https://github.com/kracr/document-level-relation-extraction
https://github.com/ku-nlp/bert-based-faqir
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance
https://github.com/kwanhui/finrelextract
https://github.com/kylrth/procedure-generation
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
https://github.com/kyriemao/TagGNN-SIGIR
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
https://github.com/ledmaster/tw-bert
https://github.com/lex-lingo/lingo
https://github.com/lightonai/pylate
https://github.com/liliaellouz/wabi-sabi
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/lizhemin15/self-distillation
https://github.com/lmarent/TranslateAlignRetrieve
Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
https://github.com/lucas-dunker/stem-separator-amt
https://github.com/lucidrains/marge-pytorch
https://github.com/lukevs/charity-explorer
https://github.com/luyug/GC-DPR
https://github.com/lyon-nlp/mteb-french
https://github.com/lzhengchun/nntrainflow
https://github.com/mamhoud/CapstoneProject
A Critical Review of Recurrent Neural Networks for Sequence Learning
https://github.com/mandubian/codenets
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/masakicktashiro/rgcn_pytorch_implementation
https://github.com/massquantity/dismember
https://github.com/medhalt/medhalt
Med-HALT: Medical Domain Hallucination Test for Large Language Models
https://github.com/mhardalov/customer-support-chatbot
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.