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Sentence Embeddings

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Showing 151–175 of 615 papers

TitleStatusHype
CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings—0
A Retrieval-Based Approach to Medical Procedure Matching in Romanian—0
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings—0
Are there identifiable structural parts in the sentence embedding whole?—0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives—0
Fast developing of a Natural Language Interface for a Portuguese WordNet: Leveraging on Sentence Embeddings—0
Classification on Sentence Embeddings for Legal Assistance—0
Class Embeddings for Improved Out-of-Scope Detection in Intent Classification—0
A Framework for Lightweight Responsible Prompting Recommendation—0
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter—0
Finding BERT’s Idiomatic Key—0
Are Language-Agnostic Sentence Representations Actually Language-Agnostic?—0
Checking Fact Worthiness using Sentence Embeddings—0
MTEB-French: Resources for French Sentence Embedding Evaluation and Analysis—0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding—0
Dual-View Distilled BERT for Sentence Embedding—0
DT\_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output—0
Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration—0
A deep Natural Language Inference predictor without language-specific training data—0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data—0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support—0
Efficient comparison of sentence embeddings—0
DoubleCCA: Improving Foundation Model Group Robustness with Random Sentence Embeddings—0
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