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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 611–620 of 671 papers

TitleStatusHype
SPECTRUM: Semantic Processing and Emotion-informed video-Captioning Through Retrieval and Understanding Modalities—0
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization—0
Stacked Convolutional Deep Encoding Network for Video-Text Retrieval—0
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
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