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 110 of 86 papers

TitleStatusHype
Transformer-Based Temporal Information Extraction and Application: A Review0
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach0
APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood ForecastingCode0
Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical VideosCode1
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMambaCode2
SoftTiger: A Clinical Foundation Model for Healthcare WorkflowsCode7
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering0
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection0
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification0
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio GenerationCode1
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Benchmark Results

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