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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 651–671 of 671 papers

TitleStatusHype
MeSH-based dataset for measuring the relevance of text retrieval—0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Learning a Text-Video Embedding from Incomplete and Heterogeneous DataCode1
Stacked Cross Attention for Image-Text MatchingCode1
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models—0
Hashtag Processing for Enhanced Clustering of Tweets—0
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding—0
Variational Deep Semantic Hashing for Text DocumentsCode0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain—0
Unambiguous Text Localization and Retrieval for Cluttered Scenes—0
Text Retrieval by Term Co-occurrences in a Query-based Vector Space—0
Semantic Indexing of Multilingual Corpora and its Application on the History Domain—0
Searching Four-Millenia-Old Digitized Documents: A Text Retrieval System for Egyptologists—0
MeTA: A Unified Toolkit for Text Retrieval and AnalysisCode0
On Reducing the Number of Visual Words in the Bag-of-Features Representation—0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval—0
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures—0
NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation—0
Text Relatedness Based on a Word Thesaurus—0
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams—0
Angular Quantization-based Binary Codes for Fast Similarity Search—0
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