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» A Meta Learning Approach to Grammatical Error Correction
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IJCAI
1989
13 years 8 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
TCS
2010
13 years 5 months ago
Error-repair parsing schemata
Robustness, the ability to analyze any input regardless of its grammaticality, is a desirable property for any system dealing with unrestricted natural language text. Error-repair...
Carlos Gómez-Rodríguez, Miguel A. Al...
ACL
2006
13 years 9 months ago
FAST - An Automatic Generation System for Grammar Tests
This paper introduces a method for the semi-automatic generation of grammar test items by applying Natural Language Processing (NLP) techniques. Based on manually-designed pattern...
Chia-Yin Chen, Hsien-Chin Liou, Jason S. Chang
SOFSEM
2000
Springer
13 years 11 months ago
Towards High Speed Grammar Induction on Large Text Corpora
Abstract. In this paper we describe an e cient and scalable implementation for grammar induction based on the EMILE approach ( 2], 3], 4], 5], 6]). The current EMILE 4.1 implementa...
Pieter W. Adriaans, Marten Trautwein, Marco Vervoo...
CVPR
2005
IEEE
14 years 9 months ago
Tangent-Corrected Embedding
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale ...