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 1101–1150 of 1977 papers

TitleStatusHype
Automatically Labeled Data Generation for Large Scale Event Extraction—0
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention—0
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
Jargon-Term Extraction by Chunking—0
A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data—0
基于平行交互注意力网络的中文电子病历实体及关系联合抽取(Parallel Interactive Attention Network for Joint Entity and Relation Extraction Based on Chinese Electronic Medical Record)—0
基于深度学习的实体关系抽取研究综述(Review of Entity Relation Extraction based on deep learning)—0
Automatically Generating Counterfactuals for Relation Classification—0
WEXEA: Wikipedia EXhaustive Entity Annotation—0
Joint Constrained Learning for Event-Event Relation Extraction—0
Automated Graph Generation at Sentence Level for Reading Comprehension Based on Conceptual Graphs—0
Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement—0
A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss—0
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks—0
Augmenting Task-Oriented Dialogue Systems with Relation Extraction—0
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision—0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
Joint extraction of entities and overlapping relations using position-attentive sequence labeling—0
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers—0
Jointly Modeling Hierarchical and Horizontal Features for Relational Triple Extraction—0
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models—0
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies—0
Joint Extraction of Entity and Relation with Information Redundancy Elimination—0
Joint Extraction of Uyghur Medicine Knowledge with Edge Computing—0
Joint Inference for Knowledge Base Population—0
Joint Learning-based Causal Relation Extraction from Biomedical Literature—0
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics—0
Jointly Embedding Relations and Mentions for Knowledge Population—0
Jointly Extracting Multiple Triplets with Multilayer Translation Constraints—0
Active Relation Discovery: Towards General and Label-aware OpenRE—0
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context—0
Joint Mention Extraction and Classification with Mention Hypergraphs—0
90% F1 Score in Relational Triple Extraction: Is it Real ?—0
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar—0
Joint Type Inference on Entities and Relations via Graph Convolutional Networks—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
A Two-Phase Paradigm for Joint Entity-Relation Extraction—0
A TV Program Discovery Dialog System using recommendations—0
KELVIN: a tool for automated knowledge base construction—0
Text-to-Table: A New Way of Information Extraction—0
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning—0
Key Mention Pairs Guided Document-Level Relation Extraction—0
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis—0
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction—0
Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge—0
kLogNLP: Graph Kernel--based Relational Learning of Natural Language—0
Attention Neural Model for Temporal Relation Extraction—0
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels—0
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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