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Sentence Embeddings
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models
Spanish Abstract Meaning Representation: Annotation of a General Corpus
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations
drsphelps at SemEval-2022 Task 2: Learning idiom representations using BERTRAM
Efficient comparison of sentence embeddings
The SAME score: Improved cosine based bias score for word embeddings
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
Graph Pre-training for AMR Parsing and Generation
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Just Rank: Rethinking Evaluation with Word and Sentence Similarities
A Mutually Reinforced Framework for Pretrained Sentence Embeddings
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference
SGPT: GPT Sentence Embeddings for Semantic Search
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals
Classification on Sentence Embeddings for Legal Assistance
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Improve Sentence Alignment by Divide-and-conquer
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
PromptBERT: Improving BERT Sentence Embeddings with Prompts
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework
Toward Educator-focused Automated Scoring Systems for Reading and Writing
Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents
ScanQA: 3D Question Answering for Spatial Scene Understanding
Learning to Transpile AMR into SPARQL
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains
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