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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 551–575 of 671 papers

TitleStatusHype
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Learning Relation Alignment for Calibrated Cross-modal RetrievalCode1
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Playing Lottery Tickets with Vision and Language—0
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
Condenser: a Pre-training Architecture for Dense RetrievalCode1
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval—0
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingCode1
Continual learning in cross-modal retrieval—0
Understanding Hard Negatives in Noise Contrastive EstimationCode1
A Replication Study of Dense Passage RetrieverCode2
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization—0
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation LearningCode1
Scene Text Retrieval via Joint Text Detection and Similarity LearningCode1
Frozen in Time: A Joint Video and Image Encoder for End-to-End RetrievalCode1
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
Kaleido-BERT: Vision-Language Pre-training on Fashion DomainCode1
TREC 2020 Podcasts Track Overview—0
Memory Enhanced Embedding Learning for Cross-Modal Video-Text Retrieval—0
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval—0
A Comprehensive Review of the Video-to-Text ProblemCode1
VLGrammar: Grounded Grammar Induction of Vision and LanguageCode1
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