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IR
2002
15 years 6 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
MODELS
2010
Springer
15 years 5 months ago
Towards a Semantics of Activity Diagrams with Semantic Variation Points
Abstract. UML activity diagrams have become an established notamodel control and data flow on various levels of abstraction, ranging from fine-grained descriptions of algorithms ...
Hans Grönniger, Dirk Reiss, Bernhard Rumpe
EMNLP
2009
15 years 4 months ago
On the Role of Lexical Features in Sequence Labeling
We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
Yoav Goldberg, Michael Elhadad
EMNLP
2011
14 years 6 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
EACL
1993
ACL Anthology
15 years 7 months ago
A Computational Treatment of Sentence-Final 'then'
We describe a computational system which parses discourses consisting of sequences of simple sentences. These contain a range of temporal constructions, including time adverbials,...
Sheila Glasbey