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 51–100 of 1977 papers

TitleStatusHype
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and GenesCode1
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task LearningCode1
Automatic Error Analysis for Document-level Information ExtractionCode1
Autoregressive Structured Prediction with Language ModelsCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
Discriminative Reasoning for Document-level Relation ExtractionCode1
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic DialoguesCode1
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERTCode1
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task LearningCode1
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
Coreferential Reasoning Learning for Language RepresentationCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsCode1
Context-faithful Prompting for Large Language ModelsCode1
Clinical Relation Extraction Using Transformer-based ModelsCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Continual Multimodal Knowledge Graph ConstructionCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
A Relation-Oriented Clustering Method for Open Relation ExtractionCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?Code1
A Partition Filter Network for Joint Entity and Relation ExtractionCode1
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation ExtractionCode1
A Scientific Information Extraction Dataset for Nature Inspired EngineeringCode1
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation ExtractionCode1
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation ExtractionCode1
A sequence-to-sequence approach for document-level relation extractionCode1
CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance CheckingCode1
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the WildCode1
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNetCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation ExtractionCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
A Dataset for Hyper-Relational Extraction and a Cube-Filling ApproachCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language ModelCode1
CrossRE: A Cross-Domain Dataset for Relation ExtractionCode1
A Relation-Specific Attention Network for Joint Entity and Relation ExtractionCode1
BioBERT: a pre-trained biomedical language representation model for biomedical text miningCode1
A Dataset for N-ary Relation Extraction of Drug CombinationsCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of LabelingCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
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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