SOTAVerified

Relation Extraction

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

Papers

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Showing 301–350 of 1977 papers

TitleStatusHype
Entity Identifier: A Natural Text Parsing-based Framework For Entity Relation Extraction—0
HistRED: A Historical Document-Level Relation Extraction DatasetCode0
Linguistic representations for fewer-shot relation extraction across domains—0
iMETRE: Incorporating Markers of Entity Types for Relation Extraction—0
GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language ModelsCode0
Pareto Optimal Learning for Estimating Large Language Model Errors—0
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete LabelingCode0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction—0
Modeling Hierarchical Reasoning Chains by Linking Discourse Units and Key Phrases for Reading ComprehensionCode1
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation ExtractionCode0
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction—0
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training—0
RED^ FM: a Filtered and Multilingual Relation Extraction DatasetCode2
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training DataCode0
Pushing the Limits of ChatGPT on NLP Tasks—0
Enhancing Semantic Correlation between Instances and Relations for Zero-Shot Relation ExtractionCode0
Rethinking Document-Level Relation Extraction: A Reality Check—0
Improving Explainability of Disentangled Representations using Multipath-Attribution MappingsCode1
Building a Corpus for Biomedical Relation Extraction of Species Mentions—0
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation NamesCode0
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation ExtractionCode0
Open Set Relation Extraction via Unknown-Aware TrainingCode0
Actively Supervised Clustering for Open Relation Extraction—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction—0
FinRED: A Dataset for Relation Extraction in Financial DomainCode1
Prompt Space Optimizing Few-shot Reasoning Success with Large Language ModelsCode0
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers—0
More than Classification: A Unified Framework for Event Temporal Relation ExtractionCode0
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks—0
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation ExtractionCode0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
RE^2: Region-Aware Relation Extraction from Visually Rich DocumentsCode0
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models—0
A Causal View of Entity Bias in (Large) Language ModelsCode0
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path—0
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich DocumentCode1
REFinD: Relation Extraction Financial DatasetCode0
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting—0
How Fragile is Relation Extraction under Entity Replacements?Code0
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge GraphCode0
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future OpportunitiesCode2
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction—0
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
Silver Syntax Pre-training for Cross-Domain Relation ExtractionCode0
Uncertainty Guided Label Denoising for Document-level Distant Relation ExtractionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DREEAMF167.53—Unverified
2KD-Rb-lF167.28—Unverified
3SSAN-RoBERTa-large+AdaptationF165.92—Unverified
4SAIS-RoBERTa-largeF165.11—Unverified
5Eider-RoBERTa-largeF164.79—Unverified
6DocuNet-RoBERTa-largeF164.55—Unverified
7CGM2IR-RoBERTalargeF163.89—Unverified
8SETE-Roberta-largeF163.74—Unverified
9ATLOP-RoBERTa-largeF163.4—Unverified
10DRE-MIR-BERTbaseF163.15—Unverified
#ModelMetricClaimedVerifiedStatus
1RAG4REF186.6—Unverified
2DeepStruct multi-task w/ finetuneF176.8—Unverified
3UNiST (LARGE)F175.5—Unverified
4RE-MCF175.4—Unverified
5GenPT (T5)F175.3—Unverified
6RECENT+SpanBERTF175.2—Unverified
7SuRE (PEGASUS-large)F175.1—Unverified
8EXOBRAINF175—Unverified
9Relation ReductionF174.8—Unverified
10RoBERTa-large-typed-markerF174.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPF191.9—Unverified
2RIFREF191.3—Unverified
3REDNF191—Unverified
4SPOTF190.6—Unverified
5KLGF190.5—Unverified
6RELAF190.4—Unverified
7Skeleton-Aware BERTF190.36—Unverified
8KnowPromptF190.3—Unverified
9LUKEF190.3—Unverified
10EPGNNF190.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Span-levelNER Micro F185.98—Unverified
2Dual Pointer Network(multi-head)Relation classification F180.8—Unverified
3Dual Pointer NetworkRelation classification F180.5—Unverified
4PL-MarkerRE Micro F173—Unverified
5ASP+T5-3BRE Micro F172.7—Unverified
6GoLLIERE Micro F170.1—Unverified
7Ours: cross-sentence ALBRE Micro F169.4—Unverified
8MGERE+ Micro F168.2—Unverified
9HySPA (ours) w/ RoBERTaRelation F168.2—Unverified
10RNN+CNNRelation classification F167.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ReLiK-LargeRE+ Micro F178.1—Unverified
2REBELRE+ Macro F1 76.65—Unverified
3ASP+T0-3BRE+ Micro F176.3—Unverified
4Table-SequenceRE+ Macro F1 75.4—Unverified
5SpERTRE+ Macro F1 72.87—Unverified
6DeeperRE+ Macro F1 72.63—Unverified
7TANLRE+ Micro F172.6—Unverified
8TablERTRE+ Micro F172.6—Unverified
9TriMFRE+ Micro F172.35—Unverified
10Multi-turn QARE+ Micro F168.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PFN (ALBERT XXL, average aggregation)RE+ Macro F183.9—Unverified
2DeeperRE+ Macro F183.74—Unverified
3PFN (ALBERT XXL, no aggregation)RE+ Macro F183.2—Unverified
4SpERT.PL (without overlap and BioBERT)RE+ Macro F182.39—Unverified
5REBEL (including overlapping entities)RE+ Macro F182.2—Unverified
6SpERT.PL (with overlap and BioBERT)RE+ Macro F182.03—Unverified
7CMANRE+ Macro F181.14—Unverified
8Table-SequenceRE+ Macro F180.1—Unverified
9CLDR + CLNERRE+ Macro F179.97—Unverified
10SpERT (without overlap)RE+ Macro F179.24—Unverified
#ModelMetricClaimedVerifiedStatus
1UniRelF194.7—Unverified
2PFNF193.6—Unverified
3SPNF193.4—Unverified
4TDEERF193.1—Unverified
5RIFREF192.6—Unverified
6TPLinkerF191.9—Unverified
7HBT (CasRel)F191.8—Unverified
8RIN (BERT, K=2)F190.1—Unverified
9CGT(UniLM)F183.4—Unverified