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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

Showing 651671 of 671 papers

TitleStatusHype
On the Equilibrium of Query Reformulation and Document Retrieval0
Semantic Search by Latent Ontological Features0
MeSH-based dataset for measuring the relevance of text retrieval0
Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text RetrievalCode0
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models0
Hashtag Processing for Enhanced Clustering of Tweets0
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding0
Variational Deep Semantic Hashing for Text DocumentsCode0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain0
Unambiguous Text Localization and Retrieval for Cluttered Scenes0
Semantic Indexing of Multilingual Corpora and its Application on the History Domain0
Text Retrieval by Term Co-occurrences in a Query-based Vector Space0
MeTA: A Unified Toolkit for Text Retrieval and AnalysisCode0
Searching Four-Millenia-Old Digitized Documents: A Text Retrieval System for Egyptologists0
On Reducing the Number of Visual Words in the Bag-of-Features Representation0
Asymmetrically Weighted CCA And Hierarchical Kernel Sentence Embedding For Image & Text Retrieval0
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures0
NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation0
Text Relatedness Based on a Word Thesaurus0
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams0
Angular Quantization-based Binary Codes for Fast Similarity Search0
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