https://github.com/ULTR-Community/ULTRA
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
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/UlionTse/mlgb
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
https://github.com/UmarFarooqui/MethodNamePrediction
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/UmarFarooqui/Springboard
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/VectorSpaceLab/MegaPairs
https://github.com/Vergangenheit/Conv-AI
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/VietHoang1512/khmer-nltk
https://github.com/VietHoang1710/khmer-nltk
https://github.com/WahajJaved20/Sarcasm_Detection-Feature_Selection
https://github.com/Wang-Yu-Qing/MIND
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
https://github.com/Xiao0728/ColBERT-PRF-VirtualAppendix
Declarative Experimentation in Information Retrieval using PyTerrier
https://github.com/YannisTzitzikas/GreekMitosStemmer
https://github.com/YichenLin/MATH-80600A-Project
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/ZIZUN/MAFiD
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
https://github.com/Zefty/rag-end2end-retriever
https://github.com/ZenzenDatabase/CMR_audiovisual
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
https://github.com/Zhiyu-Chen/SIGIR2020-BERT-Table-Search
https://github.com/aakash222/text-segmentation-NLP
https://github.com/abhilekha-dalal/ConceptLens
https://github.com/abmitra84/recommender_system
Deep Learning based Recommender System: A Survey and New Perspectives
https://github.com/adelra/query-expansion
Improving Information Retrieval Results for Persian Documents using FarsNet
https://github.com/ag-gipp/MathMLben
https://github.com/airKlizz/MsMarco
https://github.com/airi-institute/al_toolbox
https://github.com/alecokas/BiLatticeRNN-Confidence
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
https://github.com/alecokas/lattice_rnn
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
https://github.com/aleksac99/SQuAD-SR
Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
https://github.com/alemol/flat
Active learning in annotating micro-blogs dealing with e-reputation
https://github.com/alexlimh/DPR_MUF
https://github.com/alibaba/TorchEasyRec
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
https://github.com/alibaba/easyrec
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
https://github.com/amaai-lab/t2m-inferalign
https://github.com/amaai-lab/text2midi
https://github.com/aminatadjer/test
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/amzn/refuel-open-domain-qa
https://github.com/andre-dietrich/SelectScript
Reasoning in complex environments with the SelectScript declarative language
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.