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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 531–540 of 671 papers

TitleStatusHype
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representation—0
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling—0
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax LossCode1
Text Retrieval for Language Learners: Graded Vocabulary vs. Open Learner Model—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes—0
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