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» A Linguistic Theory of Robustness
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113
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WAPCV
2007
Springer
15 years 6 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
110
Voted
CIKM
2005
Springer
15 years 6 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng
103
Voted
CIKM
2008
Springer
15 years 2 months ago
Large-scale, parallel automatic patent annotation
When researching new product ideas or filing new patents, inventors need to retrieve all relevant pre-existing know-how and/or to exploit and enforce patents in their technologica...
Milan Agatonovic, Niraj Aswani, Kalina Bontcheva, ...
ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
115
Voted
ANLP
1997
106views more  ANLP 1997»
15 years 1 months ago
Incremental Finite-State Parsing
This paper describes a new finite-state shallow parser. It merges constructive and reductionist approaches within a highly modular architecture. Syntactic information is added at ...
Salah Ait-Mokhtar, Jean-Pierre Chanod