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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 626–650 of 671 papers

TitleStatusHype
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval TaskCode0
UNITER: Learning UNiversal Image-TExt Representations—0
UNITER: UNiversal Image-TExt Representation LearningCode1
Modelling Stopping Criteria for Search Results using Poisson ProcessesCode0
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training—0
A Minimax Game for Instance based Selective Transfer Learning—0
XQA: A Cross-lingual Open-domain Question Answering DatasetCode1
Transformation of XML Documents with Prolog—0
Polysemous Visual-Semantic Embedding for Cross-Modal RetrievalCode1
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionCode0
A Hybrid Retrieval-Generation Neural Conversation ModelCode0
A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine—0
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals—0
Image Chat: Engaging Grounded ConversationsCode0
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
C-DLSI: An Extended LSI Tailored for Federated Text Retrieval—0
Webly Supervised Joint Embedding for Cross-Modal lmage-Text Retrieval—0
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries—0
Single Shot Scene Text RetrievalCode0
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval—0
Personalized Text Retrieval for Learners of Chinese as a Foreign Language—0
Exploring Combinations of Ontological Features and Keywords for Text Retrieval—0
On the Equilibrium of Query Reformulation and Document Retrieval—0
Semantic Search by Latent Ontological Features—0
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