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Sentence Embedding

Papers

Showing 226250 of 407 papers

TitleStatusHype
Structure-aware Sentence Encoder in Bert-Based Siamese Network0
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models0
Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models0
Summarizing Utterances from Japanese Assembly Minutes using Political Sentence-BERT-based Method for QA Lab-PoliInfo-2 Task of NTCIR-150
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision0
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings0
TaDSE: Template-aware Dialogue Sentence Embeddings0
Target Concept Guided Medical Concept Normalization in Noisy User-Generated Texts0
TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation0
Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor0
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs0
Topic Segmentation Model Focusing on Local Context0
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks0
Topological Interpretations of GPT-30
Tracing the Genealogies of Ideas with Large Language Model Embeddings0
Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification0
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task0
Transferring Semantic Knowledge Into Language Encoders0
Translation Aligned Sentence Embeddings for Turkish Language0
TST^R: Target Similarity Tuning Meets the Real World0
Tweaks and Tricks for Word Embedding Disruptions0
Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations0
Universal Sentence Encoder for English0
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models0
UNSUPERVISED SENTENCE EMBEDDING USING DOCUMENT STRUCTURE-BASED CONTEXT0
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