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» Knowledge Sources for Word Sense Disambiguation
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ECML
2003
Springer
14 years 1 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
TASLP
2010
144views more  TASLP 2010»
13 years 2 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
SEMWEB
2007
Springer
14 years 1 months ago
Evaluating the Semantic Web: A Task-Based Approach
The increased availability of online knowledge has led to the design of several algorithms that solve a variety of tasks by harvesting the Semantic Web, i.e., by dynamically select...
Marta Sabou, Jorge Gracia, Sofia Angeletou, Mathie...
LREC
2010
176views Education» more  LREC 2010»
13 years 9 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
LREC
2010
161views Education» more  LREC 2010»
13 years 9 months ago
Providing Multilingual, Multimodal Answers to Lexical Database Queries
Language users are increasingly turning to electronic resources to address their lexical information needs, due to their convenience and their ability to simultaneously capture di...
Gerard de Melo, Gerhard Weikum