SOTAVerified

Event Extraction

Determine the extent of the events in a text.

Other names: Event Tagging; Event Identification

Papers

Showing 201225 of 446 papers

TitleStatusHype
An overview of event extraction and its applications0
Effective Use of Graph Convolution Network and Contextual Sub-Tree for Commodity News Event ExtractionCode1
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments0
Exploring Sentence Community for Document-Level Event Extraction0
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding0
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that WorksCode1
Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event ExtractionCode1
Joint Multimedia Event Extraction from Video and Article0
Language Model Priming for Cross-Lingual Event Extraction0
Modality and Negation in Event ExtractionCode0
DocEE: A Large-Scale Dataset for Document-level Event Extraction0
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information ExtractionCode1
PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction0
Corpus-based Open-Domain Event Type InductionCode1
Knowledge Graph Enhanced Event Extraction in Financial Documents0
Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch0
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology0
DEGREE: A Data-Efficient Generation-Based Event Extraction ModelCode1
Event Extraction by Associating Event Types and Argument Roles0
An Effective System for Multi-format Information ExtractionCode1
Multilingual Protest News Detection - Shared Task 1, CASE 20210
SU-NLP at CASE 2021 Task 1: Protest News Detection for English0
PROTEST-ER: Retraining BERT for Protest Event Extraction0
Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction0
Keynote Abstract: Machine Learning in Conflict Studies: Reflections on Ethics, Collaboration, and Ongoing Challenges0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepStruct multi-taskArgument Cl63.9Unverified
2DeepStruct multi-task w/ finetuneArgument Cl56.2Unverified
3Text2Event - T5-largeArgument Cl53.8Unverified
4Text2Event - T5-baseArgument Cl49.8Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF163.96Unverified
2GEANet-SciBERTF160.06Unverified
#ModelMetricClaimedVerifiedStatus
1110L1Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.74Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF165.57Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF156.72Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.62Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF161.87Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEventMineF157.72Unverified