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NAACL
1994
14 years 7 days ago
Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation
In this paper, we describe a reversibleletter-to-sound/soundto-letter generation system based on an approach which combines a rule-based formalism with data-driven techniques. We ...
Helen M. Meng, Stephanie Seneff, Victor Zue
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 5 months ago
Document-Word Co-regularization for Semi-supervised Sentiment Analysis
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...
Vikas Sindhwani, Prem Melville
PLDI
1995
ACM
14 years 2 months ago
Better Static Memory Management: Improving Region-Based Analysis of Higher-Order Languages
d Abstract) Alexander Aiken Manuel F¨ahndrich Raph Levieny Computer Science Division University of California, Berkeleyz Static memory managementreplaces runtime garbage collecti...
Alexander Aiken, Manuel Fähndrich, Raph Levie...
LREC
2010
234views Education» more  LREC 2010»
14 years 11 days ago
Building an Italian FrameNet through Semi-automatic Corpus Analysis
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main element of novelty with respect to the original FrameNet is represented by the fac...
Alessandro Lenci, Martina Johnson, Gabriella Lapes...
ACL
2011
13 years 2 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...