J. Pustejovsky

Publications363
h-index59
Citations15,937
Highly Influential Citations1,321
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The Generative Lexicon
TLDR
It is argued that lexical decomposition is possible if it is performed generatively and a theory of lexical inheritance is outlined, which provides the necessary principles of global organization for the lexicon, enabling us to fully integrate the authors' natural language lexicon into a conceptual whole.
TimeML: Robust Specification of Event and Temporal Expressions in Text
TLDR
TimeML is described, a rich specification language for event and temporal expressions in natural language text, developed in the context of the AQUAINT program on Question Answering Systems, and demonstrated for a delayed (underspecified) interpretation of partially determined temporal expressions.
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
TLDR
The participants’ approaches, results, and the observations from the results, which may guide future research in this area are described.
The syntax of event structure
SemEval-2010 Task 13: TempEval-2
Tempeval-2 comprises evaluation tasks for time expressions, events and temporal relations, the latter of which was split up in four sub tasks, motivated by the notion that smaller subtasks would make…
FactBank: a corpus annotated with event factuality
TLDR
FactBank is a corpus annotated with information concerning the factuality of events that has been carried out from a descriptive framework of factuality grounded on both theoretical findings and data analysis.
SemEval-2007 Task 15: TempEval Temporal Relation Identification
TLDR
The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations by defining three sub tasks that allow pairwise evaluation of temporal Relations.
Machine Learning of Temporal Relations
TLDR
This paper used temporal reasoning as an over-sampling method to dramatically expand the amount of training data, resulting in predictive accuracy on link labeling as high as 93% using a Maximum Entropy classifier on human annotated data.
ISO-TimeML: An International Standard for Semantic Annotation
In this paper, we present ISO-TimeML, a revised and interoperable version of the temporal markup language, TimeML. We describe the changes and enrichments made, while framing the effort in a more…
The Specification Language TimeML
TLDR
This paper provides a description of TimeML, a rich specification language for event and temporal expressions in natural language text, developed in the context of the AQUAINT program on Question Answering Systems, and demonstrates the expressiveness of timeML for a broad range of syntactic and semantic contexts.
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