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 251–300 of 1977 papers

TitleStatusHype
Joint Entity and Relation Extraction with Set Prediction NetworksCode1
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation ExtractionCode1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsCode1
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab ProtocolsCode1
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair LinkingCode1
A Frustratingly Easy Approach for Entity and Relation ExtractionCode1
Effective Distant Supervision for Temporal Relation ExtractionCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Bootleg: Chasing the Tail with Self-Supervised Named Entity DisambiguationCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized RepresentationsCode1
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence EncodersCode1
Exposing Shallow Heuristics of Relation Extraction Models with Challenge DataCode1
Semi-supervised Relation Extraction via Incremental Meta Self-TrainingCode1
Learning from Context or Names? An Empirical Study on Neural Relation ExtractionCode1
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentionCode1
Double Graph Based Reasoning for Document-level Relation ExtractionCode1
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!Code1
Global-to-Local Neural Networks for Document-Level Relation ExtractionCode1
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural NetworkCode1
Leveraging Semantic Parsing for Relation Linking over Knowledge BasesCode1
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation ExtractionCode1
On Robustness and Bias Analysis of BERT-based Relation ExtractionCode1
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention NetworksCode1
Meta-Learning with Sparse Experience Replay for Lifelong Language LearningCode1
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective FunctionCode1
Do Syntax Trees Help Pre-trained Transformers Extract Information?Code1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Few-shot Relation Extraction via Bayesian Meta-learning on Relation GraphsCode1
Pynsett: A programmable relation extractorCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
A Relation-Specific Attention Network for Joint Entity and Relation ExtractionCode1
TURL: Table Understanding through Representation LearningCode1
Relation of the Relations: A New Paradigm of the Relation Extraction ProblemCode1
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation ExtractionCode1
In Layman's Terms: Semi-Open Relation Extraction from Scientific TextsCode1
A Scientific Information Extraction Dataset for Nature Inspired EngineeringCode1
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text MiningCode1
ExpBERT: Representation Engineering with Natural Language ExplanationsCode1
pyBART: Evidence-based Syntactic Transformations for IECode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskCode1
Revisiting Unsupervised Relation ExtractionCode1
Dialogue-Based Relation ExtractionCode1
Probing Linguistic Features of Sentence-Level Representations in Neural Relation ExtractionCode1
Coreferential Reasoning Learning for Language RepresentationCode1
Downstream Model Design of Pre-trained Language Model for Relation Extraction TaskCode1
SelfORE: Self-supervised Relational Feature Learning for Open Relation ExtractionCode1
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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