The issue of this paper is to present the advantages of a morphological tagging of English in order to resolve morphological ambiguities. Such a way of tagging seems to be more efficient because it allows an intention description of morphological forms compared with the extensive collection of usual dictionaries. This method has already been experimented on French and has given promising result...

Current workflow management systems (WFMS) offer little aid for the acquisition of workflow models and their adaptation to changing requirements. To support these activities we propose to integrate machine learning and workflow management. This enables an inductive approach to workflow acquisition and adaptation by processing traces of manually enacted workflows. We present a machine learning c...

The historical corpus of Hungarian contains about 20 million running words at the moment. To be able to retrieve the occurrences of the lexemes, a morphological analyser programme was developed which is able to segment the running words and identifies the lexeme and the suffixes. Over 30% of the running words can have more then one correct analysis. Therefore we are aiming to develop methods fo...

Introduction The first differential analyzer was built in 1931 by Vannevar Bush at the Massachusetts Institute of Technology. This work soon came to the attention of Douglas Hartree of the University of Manchester who, assisted by his research student Arthur Porter, built a model consisting mostly of Meccano parts to judge its suitability for calculations arising in atomic physics. With the suc...

Many problems involving visual perception, language understanding, or other human abilities can now be solved by computers. This allows the tasks to be done faster and more affordably than humans could do. Furthermore, it means they can be done on-demand, enabling computers to monitor national intelligence information streams, search video footage for missing persons, and perform a wide variety...

Esfinge is a general domain Portuguese question answering system which uses the information available on the Web as an additional resource when searching for answers. Other external resources and tools used are a broad coverage parser, a morphological analyser, a named entity recognizer and a Web-based database of word co-occurrences. In this fourth participation in CLEF, in addition to the new...

The paper provides a brief description of the system assembled for the CLEF 2007 Ad-Hoc track by the University of West Bohemia. We have performed only monolingual experiments (Czech documents Czech queries) using two incarnations of the tf.idf model — one with raw term frequency and the other with the BM25 term frequency weighting — as implemented in the Lemur toolkit. The effect of the blind ...

We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating reviewers as a limited labeling resource. We demonstrate that even in small numbers, reviewers can vastly improve the system’s ability to keep pace with evolving threats. We conduct our evaluation on a sample of VirusTotal submissions spanning 2.5 years and containing 1.1 ...

Morphological lexicons for morphologically complex languages provide good text coverage at the cost of overgeneration, difficulty of modification, and sometimes performance issues. Use of simple, manageable lexicon forms – especially lists – for morphologically complex languages may appear unviable because the number of possible word-forms in a morphologically complex language can be prohibitiv...

We present and evaluate a large-scale malware detection system integrating machine learning with expert reviewers, treating reviewers as a limited labeling resource. We demonstrate that even in small numbers, reviewers can vastly improve the system’s ability to keep pace with evolving threats. We conduct our evaluation on a sample of VirusTotal submissions spanning 2.5 years and containing 1.1 ...