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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 551–600 of 671 papers

TitleStatusHype
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageCode0
Image-text Retrieval: A Survey on Recent Research and Development—0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Audio-text Retrieval in Context—0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval—0
An Uncommon Task: Participatory Design in Legal AI—0
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote SensingCode0
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training BenchmarkCode0
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval—0
Cross-modal Contrastive Learning for Speech Translation—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
Deep Keyphrase Completion—0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations—0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation—0
Adversarial Retriever-Ranker for dense text retrieval—0
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representation—0
Learning Context-Adapted Video-Text Retrieval by Attending to User Comments—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling—0
Text Retrieval for Language Learners: Graded Vocabulary vs. Open Learner Model—0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Multi-stage Pre-training over Simplified Multimodal Pre-training ModelsCode0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval—0
Can BERT Dig It? -- Named Entity Recognition for Information Retrieval in the Archaeology Domain—0
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Playing Lottery Tickets with Vision and Language—0
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval—0
Continual learning in cross-modal retrieval—0
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization—0
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
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
Rudder: A Cross Lingual Video and Text Retrieval DatasetCode0
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