Memory-based language processing (MBLP) views language processing as being based on
the direct reuse of previous experience rather than on the use of rules or other structures …

Induced decision trees are an extensively-researched solution to classi cation tasks. For
many practical tasks, the trees produced by tree-generation algorithms are not …

In this chapter we provide a comprehensive overview of the topic of Intelligent Techniques
for Web Personalization. Web Personalization is viewed as an application of data mining …

We introduce a memory-based approach to part of speech tagging. Memory-based learning
is a form of supervised learning based on similarity-based reasoning. The part of speech tag …

We describe TADPOLE, a modular memory-based morphosyntactic tagger and dependency
parser for Dutch. Though primarily aimed at being accurate, the design of the system is also …

Lexical-semantic resources, including thesauri and WORDNET, have been successfully
incorporated into a wide range of applications in Natural Language Processing. However …

This paper presents an extensive empirical evaluation of memory-based learning in the
context of anti-spam filtering, a novel cost-sensitive application of text categorization that …

We examine how differences in language models, learned by different data-driven systems
performing the same NLP task, can be exploited to yield a higher accuracy than the best …

We show that in language learning, contrary to received wisdom, keeping exceptional
training instances in memory can be beneficial for generalization accuracy. We investigate …

In this paper we discuss two phase-field models for solidification of a eutectic alloy, a
situation in which a liquid may transform into two distinct solid phases. The first is based on a …