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ACL
2012
13 years 4 months ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
97
Voted
ICML
1994
IEEE
15 years 5 months ago
Towards a Better Understanding of Memory-based Reasoning Systems
John Rachlin, Simon Kasif, Steven Salzberg, David ...
119
Voted
IJCAI
1997
15 years 3 months ago
An Aggregation Procedure for Building Episodic Memory
When dealing with narrative texts, a system must possess a strong domain theory, and especially knowledge about situations occurring in the world. Otherwise the system must envisa...
Olivier Ferret, Brigitte Grau
106
Voted
ICDS
2010
IEEE
15 years 7 months ago
Towards Learning Domain Ontology from Legacy Documents
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
Yijian Wu, Shaolei Zhang, Wenyun Zhao
CIKM
2009
Springer
15 years 6 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...