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ACL
2003
13 years 10 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto
EMNLP
2007
13 years 10 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
FDL
2008
IEEE
14 years 3 months ago
Symbolic Quasi-Static Scheduling of Actor-Oriented SystemC Models
—In this paper, we propose a quasi-static scheduling (QSS) method applicable to actor-oriented SystemC designs. QSS determines a schedule where several static schedules are combi...
Jens Gladigau, Christian Haubelt, Jürgen Teic...
CICLING
2005
Springer
13 years 11 months ago
Evaluating Evaluation Methods for Generation in the Presence of Variation
Recent years have seen increasing interest in automatic metrics for the evaluation of generation systems. When a system can generate syntactic variation, automatic evaluation becom...
Amanda Stent, Matthew Marge, Mohit Singhai
EACL
2003
ACL Anthology
13 years 10 months ago
Bootstrapping statistical parsers from small datasets
We present a practical co-training method for bootstrapping statistical parsers using a small amount of manually parsed training material and a much larger pool of raw sentences. ...
Mark Steedman, Anoop Sarkar, Miles Osborne, Rebecc...