SOTAVerified

Event Extraction

Determine the extent of the events in a text.

Other names: Event Tagging; Event Identification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 446 papers

TitleStatusHype
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention—0
Document-Level Event Extraction via Human-Like Reading Process—0
Ontology-enhanced Prompt-tuning for Few-shot Learning—0
Contrastive Event Extraction Using Video Enhancements—0
DEGREE: A Data-Efficient Generation-Based Event Extraction Model—0
Exploiting Coreference and Schema Structure for Document-level Event Extraction—0
Hybrid Semantic Type Representation for Zero-Shot Event Extraction—0
Mining Information from Event Structure Relation Graph for Event Argument Extraction—0
Extracting Space Situational Awareness Events from News TextCode0
Writing Style Aware Document-level Event Extraction—0
Monitoring Energy Trends through Automatic Information Extraction—0
Syntactic-GCN Bert based Chinese Event Extraction—0
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction—0
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection—0
Variational Deep Logic Network for Joint Inference of Entities and Relations—0
Active Learning for Event Extraction with Memory-based Loss Prediction Model—0
Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation ExtractionCode0
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction—0
A Multi-task Event and Argument Trigger Detection in Hindi using POS Tagging as an Auxiliary Task—0
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding—0
Prompt-Guided Few-Shot Event Detection—0
GauSE: Gaussian Enhanced Self-Attention for Event Extraction—0
Towards Focused and Connected Document-Level Event Extraction—0
Exploiting Data Characteristics for Document-level Event ExtractionCode0
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All datasetsACE2005GENIA.Cancer Genetics 2013 (CG)Epigenetics and Post-translational Modifications 2011 (EPI)GENIA 2013Infectious Diseases 2011 (ID)Multi-Level Event Extraction (MLEE)Pathway Curation 2013 (PC)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskArgument Cl63.9—Unverified
2DeepStruct multi-task w/ finetuneArgument Cl56.2—Unverified
3Text2Event - T5-largeArgument Cl53.8—Unverified
4Text2Event - T5-baseArgument Cl49.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF163.96—Unverified
2GEANet-SciBERTF160.06—Unverified
#ModelMetricClaimedVerifiedStatus
1110L1—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.74—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF165.57—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF156.72—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.62—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.87—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF157.72—Unverified