Robust temporal processing of news
Inderjeet Mani,George Wilson +1 more
- pp 69-76
TLDR
An annotation scheme for temporal expressions, and a method for resolving temporal expressions in print and broadcast news, based on both hand-crafted and machine-learnt rules are described.Abstract:
We introduce an annotation scheme for temporal expressions, and describe a method for resolving temporal expressions in print and broadcast news. The system, which is based on both hand-crafted and machine-learnt rules, achieves an 83.2% accuracy (F-measure) against hand-annotated data. Some initial steps towards tagging event chronologies are also described.read more
Citations
More filters
TimeML: Robust Specification of Event and Temporal Expressions in Text
James Pustejovsky,José M. Castaño,Robert Ingria,Roser Saurí,Robert Gaizauskas,Andrea Setzer,Graham Katz,Dragomir R. Radev +7 more
TL;DR: 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.
Proceedings ArticleDOI
Open domain event extraction from twitter
TL;DR: TwiCal is described-- the first open-domain event-extraction and categorization system for Twitter, and a novel approach for discovering important event categories and classifying extracted events based on latent variable models is presented.
Proceedings Article
SUTime: A library for recognizing and normalizing time expressions
TL;DR: SUTIME is a temporal tagger for recognizing and normalizing temporal expressions in English text and is a deterministic rule-based system designed for extensibility.
Journal ArticleDOI
Inferring strategies for sentence ordering in multidocument news summarization
TL;DR: This article propose a methodology for studying the properties of ordering information in the news genre and describe experiments done on a corpus of multiple acceptable orderings they developed for the task, based on these experiments, they implemented a strategy for ordering information that combines constraints from chronological order of events and topical relatedness.
Proceedings ArticleDOI
Machine Learning of Temporal Relations
TL;DR: 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.
References
More filters
Journal Article
Maintaining knowledge about temporal intervals
TL;DR: An interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between space and time.
Journal ArticleDOI
Maintaining knowledge about temporal intervals
TL;DR: In this paper, an interval-based temporal logic is introduced, together with a computationally effective reasoning algorithm based on constraint propagation, which is notable in offering a delicate balance between time and space.
Journal ArticleDOI
Word Meaning and Montague Grammar
TL;DR: The first € price and the £ and $ price are net prices, subject to local VAT, and the €(D) includes 7% for Germany, the€(A) includes 10% for Austria.
Temporal Ontology and Temporal Reference.
Marc Moens,Mark Steedman +1 more
TL;DR: It is claimed that any manageable formalism for natural-language temporal descriptions will have to embody such an ontology, as will any usable temporal database for knowledge about events which is to be interrogated using natural language.