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» Learning author-topic models from text corpora
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129
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STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 7 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
124
Voted
NAACL
2007
15 years 5 months ago
Can Semantic Roles Generalize Across Genres?
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to...
Szu-ting Yi, Edward Loper, Martha Palmer
109
Voted
ESWS
2009
Springer
15 years 10 months ago
Towards Linguistically Grounded Ontologies
Abstract. In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to ca...
Paul Buitelaar, Philipp Cimiano, Peter Haase, Mich...
176
Voted
ICMCS
1999
IEEE
128views Multimedia» more  ICMCS 1999»
15 years 8 months ago
Media Actors: Characters in Search of an Author
Interactive experiences benefit from natural interactions, compelling communication, and ease of implementation. We show how, according to these principles, interactive media arch...
Flavia Sparacino, Glorianna Davenport, Alex Pentla...
124
Voted
COLING
2000
15 years 5 months ago
Robust German Noun Chunking With a Probabilistic Context-Free Grammar
We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfl'ee grammar. A manually developed grammar was semi-automatically extended wit...
Helmut Schmid, Sabine Schulte im Walde