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» A Structured Context Model for Grammar Learning
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TCBB
2011
13 years 2 months ago
Semantics and Ambiguity of Stochastic RNA Family Models
Stochastic models such as hidden Markov models or stochastic context free grammars can fail to return the correct, maximum likelihood solution in the case of semantic ambiguity. T...
Robert Giegerich, Christian Höner zu Siederdi...
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 7 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
EMNLP
2008
13 years 9 months ago
Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
Bing Zhao, Yaser Al-Onaizan
INFOCOM
2012
IEEE
11 years 10 months ago
FlowSifter: A counting automata approach to layer 7 field extraction for deep flow inspection
Abstract—In this paper, we introduce FlowSifter, a systematic framework for online application protocol field extraction. FlowSifter introduces a new grammar model Counting Regu...
Chad R. Meiners, Eric Norige, Alex X. Liu, Eric To...
EMNLP
2010
13 years 5 months ago
Title Generation with Quasi-Synchronous Grammar
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...
Kristian Woodsend, Yansong Feng, Mirella Lapata