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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 391–400 of 671 papers

TitleStatusHype
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval—0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR—0
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
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