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Sentence Embeddings
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages
Visual Semantic Parsing: From Images to Abstract Meaning Representation
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
Global Contrastive Batch Sampling via Optimization on Sample Permutations
Cross-domain Generalization for AMR Parsing
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation
Social Biases in Automatic Evaluation Metrics for NLG
Holistic Sentence Embeddings for Better Out-of-Distribution Detection
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection
Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
Semantic-based Pre-training for Dialogue Understanding
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Ranking-Enhanced Unsupervised Sentence Representation Learning
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
Neural Embeddings for Text
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI
Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation
Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases
How much of UCCA can be predicted from AMR?
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