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Text Retrieval

Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)

Papers

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Showing 581–590 of 671 papers

TitleStatusHype
Retrieval Augmentation for Deep Neural NetworksCode0
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents—0
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
Rethink Training of BERT Rerankers in Multi-Stage Retrieval PipelineCode1
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image RecognitionCode1
Adversarial Attack on Deep Cross-Modal Hamming Retrieval—0
Neural document expansion for ad-hoc information retrieval—0
Understanding and Predicting Characteristics of Test Collections in Information Retrieval—0
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