SOTAVerified

Temporal Information Extraction

Temporal information extraction is the identification of chunks/tokens corresponding to temporal intervals, and the extraction and determination of the temporal relations between those. The entities extracted may be temporal expressions (timexes), eventualities (events), or auxiliary signals that support the interpretation of an entity or relation. Relations may be temporal links (tlinks), describing the order of events and times, or subordinate links (slinks) describing modality and other subordinative activity, or aspectual links (alinks) around the various influences aspectuality has on event structure.

The markup scheme used for temporal information extraction is well-described in the ISO-TimeML standard, and also on www.timeml.org.







 PRI20001020.2000.0127 
 NEWS STORY 
 10/20/2000 20:02:07.85 


 The Navy has changed its account of the attack on the USS Cole in Yemen.
 Officials now say the ship was hit nearly two hours after it had docked.
 Initially the Navy said the explosion occurred while several boats were helping
 the ship to tie up. The change raises new questions about how the attackers
 were able to get past the Navy security.


 10/20/2000 20:02:28.05 






To avoid leaking knowledge about temporal structure, train, dev and test splits must be made at document level for temporal information extraction.

Papers

Showing 26–50 of 86 papers

TitleStatusHype
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes—0
HLT-FBK: a Complete Temporal Processing System for QA TempEval—0
Improving Temporal Relation Extraction with Training Instance Augmentation—0
Inferring Methodological Meta-knowledge from Large Biomedical Corpora—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
ISO-TimeML Event Extraction in Persian Text—0
JU\_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations—0
Korean TimeBank Including Relative Temporal Information—0
Lexical Event Ordering with an Edge-Factored Model—0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives—0
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification—0
Mining temporal footprints from Wikipedia—0
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers—0
Neural Temporal Relation Extraction—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations—0
SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information Understanding with Question Answering—0
SemEval-2015 Task 6: Clinical TempEval—0
SemEval-2016 Task 12: Clinical TempEval—0
SemEval-2017 Task 12: Clinical TempEval—0
Study of lexical aspect in the French medical language. Development of a lexical resource—0
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection—0
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ning et al.Temporal awareness67.2—Unverified
2ClearTKTemporal awareness30.98—Unverified
#ModelMetricClaimedVerifiedStatus
1CatenaF1 score0.51—Unverified
2CAEVOF1 score0.51—Unverified