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» A Fully Statistical Approach to Natural Language Interfaces
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JCST
2008
138views more  JCST 2008»
15 years 1 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
ESSLLI
2009
Springer
14 years 11 months ago
A Salience-Driven Approach to Speech Recognition for Human-Robot Interaction
We present an implemented model for speech recognition in natural environments which relies on contextual information about salient entities to prime utterance recognition. The hyp...
Pierre Lison
CIKM
2005
Springer
15 years 6 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
ACL
1998
15 years 2 months ago
Robust Interaction through Partial Interpretation and Dialogue Management
In this paper we present results on developing robust natural language interfaces by combining shallowand partialinterpretationwith dialoguemanagement. The key issue is to reduce ...
Arne Jönsson, Lena Strömbäck
EMNLP
2009
14 years 11 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum