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Sentence Retrieval

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Showing 51–75 of 82 papers

TitleStatusHype
Parallel Sentence Retrieval From Comparable Corpora for Biomedical Text Simplification—0
BUTTER: A Representation Learning Framework for Bi-directional Music-Sentence Retrieval and Generation—0
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning—0
Preserving Cross-Linguality of Pre-trained Models via Continual Learning—0
Privacy, Interpretability, and Fairness in the Multilingual Space—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval—0
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval—0
sEEG-based Encoding for Sentence Retrieval: A Contrastive Learning Approach to Brain-Language Alignment—0
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding—0
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings—0
Massively Multilingual Lexical Specialization of Multilingual Transformers—0
Soft Language Clustering for Multilingual Model Pre-training—0
SPLADE-v3: New baselines for SPLADE—0
Automatic Concept Discovery from Parallel Text and Visual Corpora—0
Structured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval—0
Suggesting Sentences for ESL using Kernel Embeddings—0
Task Alternation in Parallel Sentence Retrieval for Twitter Translation—0
Team GPLSI. Approach for automated fact checking—0
Topicwise Separable Sentence Retrieval for Medical Report Generation—0
Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features—0
Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings—0
Approximate Sentence Retrieval for Scalable and Efficient Example-Based Machine Translation—0
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
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