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» Unsupervised Discovery of Event Scenarios from Texts
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LREC
2008
82views Education» more  LREC 2008»
13 years 6 months ago
A Linguistic Resource for Discovering Event Structures and Resolving Event Coreference
In this paper, we present a linguistic resource that annotates event structures in texts. We consider an event structure as a collection of events that interact with each other in...
Cosmin Adrian Bejan, Sanda M. Harabagiu
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
13 years 12 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
COLING
2000
13 years 6 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
DEXAW
2008
IEEE
185views Database» more  DEXAW 2008»
13 years 11 months ago
Axiom-Based Feedback Cycle for Relation Extraction in Ontology Learning from Text
—The ontology learning from text cycle consists of the consecutive phases of term, synonym, concept, taxonomy and relation extraction. In this paper, a proposal towards the unsup...
Witold Abramowicz, Maria Vargas-Vera, Marek Wisnie...
CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 5 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...