Temporal Information Extraction
16 papers with code • 2 benchmarks • 3 datasets
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.
<?xml version="1.0" ?>
<TimeML xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="http://timeml.org/timeMLdocs/TimeML_1.2.1.xsd">
<TEXT>
PRI20001020.2000.0127
NEWS STORY
<TIMEX3 tid="t0" type="TIME" value="2000-10-20T20:02:07.85">10/20/2000 20:02:07.85</TIMEX3>
The Navy has changed its account of the attack on the USS Cole in Yemen.
Officials <TIMEX3 tid="t1" type="DATE" value="PRESENT_REF" temporalFunction="true" anchorTimeID="t0">now</TIMEX3> say the ship was hit <TIMEX3 tid="t2" type="DURATION" value="PT2H">nearly two hours </TIMEX3>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.
<TIMEX3 tid="t3" type="TIME" value="2000-10-20T20:02:28.05">10/20/2000 20:02:28.05</TIMEX3>
<TLINK timeID="t2" relatedToTime="t0" relType="BEFORE"/>
</TEXT>
</TimeML>
To avoid leaking knowledge about temporal structure, train, dev and test splits must be made at document level for temporal information extraction.
Benchmarks
These leaderboards are used to track progress in Temporal Information Extraction
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TempEval-3
Latest papers with no code
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering
Answering time-sensitive questions from long documents requires temporal reasoning over the times in questions and documents.
SwG-former: A Sliding-Window Graph Convolutional Network for Simultaneous Spatial-Temporal Information Extraction in Sound Event Localization and Detection
Sound event localization and detection (SELD) involves sound event detection (SED) and direction of arrival (DoA) estimation tasks.
Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification
To check the generalization ability of the proposed method, an AFDB-trained model was tested on the MITDB, and superior performance was attained compared with that of a state-of-the-art model.
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation
Finally, we use LLMs to augment and transform a large amount of audio-label data into audio-text datasets to alleviate the problem of scarcity of temporal data.
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model
Moreover, our architecture uses Multilayer Perceptrons (MLP) with biaffine attention to predict arcs and relation labels separately, improving relation detecting accuracy by exploiting the two-sided nature of temporal relationships.
Temporal Feature Networks for CNN based Object Detection
For reliable environment perception, the use of temporal information is essential in some situations.
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
Time is deeply woven into how people perceive, and communicate about the world.
Temporal Histories of Epidemic Events (THEE): A Case Study in Temporal Annotation for Public Health
We present a new temporal annotation standard, THEE-TimeML, and a corpus TheeBank enabling precise temporal information extraction (TIE) for event-based surveillance (EBS) systems in the public health domain.
Study of lexical aspect in the French medical language. Development of a lexical resource
This paper details the development of a linguistic resource designed to improve temporal information extraction systems and to integrate aspectual values.
Investigating the Challenges of Temporal Relation Extraction from Clinical Text
Temporal reasoning remains as an unsolved task for Natural Language Processing (NLP), particularly demonstrated in the clinical domain.
