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Sentence Embeddings

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

A deep Natural Language Inference predictor without language-specific training data

Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition

MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification

Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation

SONAR: Sentence-Level Multimodal and Language-Agnostic Representations

The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings

A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation

Topological Interpretations of GPT-3

Towards Controllable Natural Language Inference through Lexical Inference Types

Scaling Sentence Embeddings with Large Language Models

Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models

Attention over pre-trained Sentence Embeddings for Long Document Classification

AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge

Composition-contrastive Learning for Sentence Embeddings

Efficient Domain Adaptation of Sentence Embeddings Using Adapters

Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction

Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media

A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023

Incorporating Graph Information in Transformer-based AMR Parsing

SIFTER: A Task-specific Alignment Strategy for Enhancing Sentence Embeddings

CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction

Whitening-based Contrastive Learning of Sentence Embeddings

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Exploiting Abstract Meaning Representation for Open-Domain Question Answering

Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing

Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning

Fake News Detection and Behavioral Analysis: Case of COVID-19

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations

Contrastive Learning of Sentence Embeddings from Scratch

Linear Cross-Lingual Mapping of Sentence Embeddings

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