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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 1977 papers

TitleStatusHype
Stanza: A Python Natural Language Processing Toolkit for Many Human LanguagesCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersCode1
BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation ExtractionCode1
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation ExtractionCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
Entity, Relation, and Event Extraction with Contextualized Span RepresentationsCode1
Improving Neural Relation Extraction with Implicit Mutual RelationsCode1
Transfer Learning for Causal Sentence DetectionCode1
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsCode1
Matching the Blanks: Distributional Similarity for Relation LearningCode1
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation ExtractionCode1
A General Framework for Information Extraction using Dynamic Span GraphsCode1
SciBERT: A Pretrained Language Model for Scientific TextCode1
Simplifying Graph Convolutional NetworksCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
The Natural Language Decathlon: Multitask Learning as Question AnsweringCode1
Training Classifiers with Natural Language ExplanationsCode1
Joint entity recognition and relation extraction as a multi-head selection problemCode1
Improving Distantly Supervised Relation Extraction using Word and Entity Based AttentionCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Indirect Supervision for Relation Extraction using Question-Answer PairsCode1
Zero-Shot Relation Extraction via Reading ComprehensionCode1
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
CoType: Joint Extraction of Typed Entities and Relations with Knowledge BasesCode1
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Multiple Streams of Relation Extraction: Enriching and Recalling in Transformers—0
Chaining Event Spans for Temporal Relation GroundingCode0
Summarization for Generative Relation Extraction in the Microbiome Domain—0
Conservative Bias in Large Language Models: Measuring Relation Predictions—0
Comparative Analysis of AI Agent Architectures for Entity Relationship ClassificationCode0
CREFT: Sequential Multi-Agent LLM for Character Relation Extraction—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
Towards a More Generalized Approach in Open Relation ExtractionCode0
VulCPE: Context-Aware Cybersecurity Vulnerability Retrieval and Management—0
Towards Rehearsal-Free Continual Relation Extraction: Capturing Within-Task Variance with Adaptive PromptingCode0
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing—0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Relation Extraction Across Entire Books to Reconstruct Community Networks: The AffilKG Datasets—0
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints—0
Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning—0
Evaluation of LLMs on Long-tail Entity Linking in Historical Documents—0
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM—0
Knowledge-augmented Pre-trained Language Models for Biomedical Relation ExtractionCode0
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability FusionCode0
WHERE and WHICH: Iterative Debate for Biomedical Synthetic Data Augmentation—0
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach—0
Relation Extraction with Instance-Adapted Predicate DescriptionsCode0
Show:102550
← PrevPage 7 of 40Next →
All datasetsDocREDTACREDSemEval-2010 Task-8ACE 2005CoNLL04Adverse Drug Events (ADE) CorpusWebNLGChemProtACE 2004NYT11-HRLCDRGDA

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
8LUKEF190.3—Unverified
9KnowPromptF190.3—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
7TablERTRE+ Micro F172.6—Unverified
8TANLRE+ 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