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» Incremental Parsing Models for Dialog Task Structure
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EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
EMNLP
2010
14 years 7 months ago
Resolving Event Noun Phrases to Their Verbal Mentions
Event Anaphora Resolution is an important task for cascaded event template extraction and other NLP study. Previous study only touched on event pronoun resolution. In this paper, ...
Bin Chen, Jian Su, Chew Lim Tan
ICML
2005
IEEE
15 years 10 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
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BMCBI
2005
89views more  BMCBI 2005»
14 years 9 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
PVLDB
2010
342views more  PVLDB 2010»
14 years 8 months ago
CRIUS: User-Friendly Database Design
Non-technical users are increasingly adding structures to their data. This gives rise to the need for database design. However, traditional database design is deliberate and heavy...
Li Qian, Kristen LeFevre, H. V. Jagadish