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Relation Classification
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Relation Classification is the task of identifying the semantic relation holding between two nominal entities in text.
Source: Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DeepStruct: Pretraining of Language Models for Structure Prediction
Why only Micro-F1? Class Weighting of Measures for Relation Classification
Unified Semantic Typing with Meaningful Label Inference
Few-Shot Document-Level Relation Extraction
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing
Automatically Generating Counterfactuals for Relation Classification
Cross Domain Few-Shot Learning via Meta Adversarial Training
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
Unified Named Entity Recognition as Word-Word Relation Classification
Knowledge-Augmented Language Models for Cause-Effect Relation Classification
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
SERC: Syntactic and Semantic Sequence based Event Relation Classification
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning
On the Relation between Syntactic Divergence and Zero-Shot Performance
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
Distilling Relation Embeddings from Pre-trained Language Models
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
Does Knowledge Help General NLU? An Empirical Study
UniRE: A Unified Label Space for Entity Relation Extraction
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
Enhancing Question Generation with Commonsense Knowledge
Let's be explicit about that: Distant supervision for implicit discourse relation classification via connective prediction
Cross-Network Learning with Partially Aligned Graph Convolutional Networks
PTR: Prompt Tuning with Rules for Text Classification
Global Context for improving recognition of Online Handwritten Mathematical Expressions
Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition
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