Papers with Code 아카이브
Relation Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 8
- 보존된 평가 기록
- 33
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.
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation
Rethinking Relation Classification with Graph Meaning Representations
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming
Rationale-Enhanced Language Models are Better Continual Relation Learners
Multiple Relations Classification using Imbalanced Predictions Adaptation
Advancing Relation Extraction through Language Probing with Exemplars from Set Co-Expansion
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification
Explaining Relation Classification Models with Semantic Extents
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification
Mutually Guided Few-shot Learning for Relational Triple Extraction
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
Direct Fact Retrieval from Knowledge Graphs without Entity Linking
About Evaluation of F1 Score for RECENT Relation Extraction System
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies
End-to-End $n$-ary Relation Extraction for Combination Drug Therapies
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset
LabelPrompt: Effective Prompt-based Learning for Relation Classification
A Marker-based Neural Network System for Extracting Social Determinants of Health
RankDNN: Learning to Rank for Few-shot Learning
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Multilingual Relation Classification via Efficient and Effective Prompting
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text
Generative Prompt Tuning for Relation Classification
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification
CrossRE: A Cross-Domain Dataset for Relation Extraction
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.