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 201–250 of 1977 papers

TitleStatusHype
Dialogue-Based Relation ExtractionCode1
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph ConstructionCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial DocumentsCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
An Improved Baseline for Sentence-level Relation ExtractionCode1
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation ExtractionCode1
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation ExtractionCode1
Learning Logic Rules for Document-level Relation ExtractionCode1
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and GenesCode1
Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationCode1
Improving Large Language Models in Event Relation Logical PredictionCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
Lightweight Transformers for Clinical Natural Language ProcessingCode1
Bioformer: an efficient transformer language model for biomedical text miningCode1
Better Few-Shot Relation Extraction with Label Prompt DropoutCode1
Document-level Relation Extraction as Semantic SegmentationCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Anaphor Assisted Document-Level Relation ExtractionCode1
Double Graph Based Reasoning for Document-level Relation ExtractionCode1
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical TextCode1
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
Enhancing Biomedical Relation Extraction with DirectionalityCode1
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingCode1
Do Syntax Trees Help Pre-trained Transformers Extract Information?Code1
DORE: Document Ordered Relation Extraction based on Generative FrameworkCode1
An Effective System for Multi-format Information ExtractionCode1
Downstream Model Design of Pre-trained Language Model for Relation Extraction TaskCode1
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation ExtractionCode1
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation ExtractionCode1
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document UnderstandingCode1
Automatic Error Analysis for Document-level Information ExtractionCode1
MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation ExtractionCode1
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
Enhancing Continual Relation Extraction via Classifier DecompositionCode1
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation ExtractionCode1
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERTCode1
Automatic Rule Induction for Interpretable Semi-Supervised LearningCode1
bbw: Matching CSV to Wikidata via Meta-lookupCode1
ELECTRAMed: a new pre-trained language representation model for biomedical NLPCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
Deep Neural Networks for Relation ExtractionCode1
Autoregressive Structured Prediction with Language ModelsCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Enhanced Entity Annotations for Multilingual CorporaCode1
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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