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» Learning semantic models from event logs
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COLING
2010
14 years 7 months ago
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
Joohyun Kim, Raymond J. Mooney
118
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NIPS
2003
15 years 2 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer
NAACL
2007
15 years 2 months ago
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
We propose a novel HMM-based framework to accurately transliterate unseen named entities. The framework leverages features in letteralignment and letter n-gram pairs learned from ...
Bing Zhao, Nguyen Bach, Ian R. Lane, Stephan Vogel
106
Voted
LREC
2010
196views Education» more  LREC 2010»
15 years 2 months ago
Event Models for Historical Perspectives: Determining Relations between High and Low Level Events in Text, Based on the Classifi
In this paper, we report on a study that was performed within the "Semantics of History" project on how descriptions of historical events are realized in different types...
Agata Cybulska, Piek Vossen
135
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CAISE
2010
Springer
15 years 1 months ago
Beyond Process Mining: From the Past to Present and Future
Abstract. Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes ...
Wil M. P. van der Aalst, Maja Pesic, Minseok Song