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Passage Retrieval
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Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/facebookresearch/contriever
공식 코드Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/facebookresearch/dpr-scale
공식 코드https://github.com/facebookresearch/dpr-scale/tree/main/spar
공식 코드Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
https://github.com/fantabulous-j/bootswitch
공식 코드Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
https://github.com/google-research/language/tree/master/language/mentionmemory
공식 코드Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
https://github.com/gsidiropoulos/hybrid_retrieval_for_efficient_qa
공식 코드Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering
https://github.com/gsidiropoulos/passage_retrieval_for_spoken_qa
공식 코드On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
https://github.com/gsidiropoulos/typo-robust-multi-positive-dr
공식 코드Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
https://github.com/guest400123064/distill-retriever
공식 코드https://github.com/guglielmof/ecir2023-qpp
공식 코드Query Performance Prediction for Neural IR: Are We There Yet?
https://github.com/hansizeng/cl-drd
공식 코드https://github.com/haodongze/self-ksel-qans
공식 코드Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering
https://github.com/healx/biomed-slot-filling
공식 코드https://github.com/hejunqing/never-lost-in-the-middle
공식 코드https://github.com/iai-group/cast-snippets
공식 코드https://github.com/iai-group/sigir2024-multi-query-rewriting
공식 코드https://github.com/ibm/kgi-slot-filling
공식 코드Robust Retrieval Augmented Generation for Zero-shot Slot Filling
https://github.com/ielab/asyncval
공식 코드Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training
https://github.com/ielab/characterbert-dr
공식 코드https://github.com/ielab/counterfactual-dr
공식 코드Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
https://github.com/ielab/typos-aware-bert
공식 코드Dealing with Typos for BERT-based Passage Retrieval and Ranking
https://github.com/j-rossi-nl/verbcl
공식 코드VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law
https://github.com/jihyukkim-nlp/CollectiveKD
공식 코드https://github.com/jingtaozhan/DRhard
공식 코드Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
https://github.com/jzbjyb/reatt
공식 코드Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
https://github.com/jzhoubu/hlp
공식 코드Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
https://github.com/kidist-amde/amharic-ir-benchmarks
공식 코드Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
https://github.com/kubapok/poleval22
공식 코드Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders
https://github.com/kwang2049/dapr
공식 코드https://github.com/lavis-nlp/CoRT
공식 코드https://github.com/linweizhedragon/retrieval-augmented-visual-question-answering
공식 코드Retrieval Augmented Visual Question Answering with Outside Knowledge
https://github.com/littlewine/zeco2
공식 코드https://github.com/luyug/Condenser
공식 코드Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
https://github.com/ma787639046/bowdpr
공식 코드Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
https://github.com/microsoft/ANCE
공식 코드Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
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