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 151–200 of 1977 papers

TitleStatusHype
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation ExtractionCode1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
Deep Neural Networks for Relation ExtractionCode1
Denoising Relation Extraction from Document-level Distant SupervisionCode1
Dependency-driven Relation Extraction with Attentive Graph Convolutional NetworksCode1
Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug InteractionsCode1
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph ConstructionCode1
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation ExtractionCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
DocRED: A Large-Scale Document-Level Relation Extraction DatasetCode1
A Relation-Oriented Clustering Method for Open Relation ExtractionCode1
A Relation-Specific Attention Network for Joint Entity and Relation ExtractionCode1
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation ExtractionCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocREDCode1
Do Syntax Trees Help Pre-trained Transformers Extract Information?Code1
Double Graph Based Reasoning for Document-level Relation ExtractionCode1
A Scientific Information Extraction Dataset for Nature Inspired EngineeringCode1
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation ExtractionCode1
Enhancing Biomedical Relation Extraction with DirectionalityCode1
A sequence-to-sequence approach for document-level relation extractionCode1
Enhancing Document-level Relation Extraction by Entity Knowledge InjectionCode1
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation ExtractionCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
Entity, Relation, and Event Extraction with Contextualized Span RepresentationsCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
A Dataset for Hyper-Relational Extraction and a Cube-Filling ApproachCode1
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical TextCode1
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation ExtractionCode1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation ExtractionCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
Few-Shot Document-Level Relation ExtractionCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
Automatic Error Analysis for Document-level Information ExtractionCode1
Automatic Rule Induction for Interpretable Semi-Supervised LearningCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
GERNERMED -- An Open German Medical NER ModelCode1
An Improved Baseline for Sentence-level Relation ExtractionCode1
Global-to-Local Neural Networks for Document-Level Relation ExtractionCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation ExtractionCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
Bioformer: an efficient transformer language model for biomedical text miningCode1
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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
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