AI
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. Two novel Natural Language Processing (NLP) classification techniques are applied to the analysis of corporate annual reports in the task of financial forecasting. The ...
AI
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. A top-down parsing algorithm has been constructed to accommodate any form of ambiguous context-free grammar, augmented with semantic rules with arbitrary attribute depend...
AI
2009
Springer
13 years 9 months ago
2009
Springer
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the comple...
AI
2009
Springer
13 years 11 months ago
2009
Springer
AI
2009
Springer
13 years 11 months ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Despite the impressive amount of recent studies devoted to improving the state of the art of Machine Translation (MT), Computer Assisted Translation (CAT) tools remain the preferre...
AI
2009
Springer
13 years 11 months ago
2009
Springer
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Natural Language Generation (NLG) systems can make data accessible in an easily digestible textual form; but using such systems requires sophisticated linguistic and some...
AI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...