Karl-Michael Schneider - researchr alias

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Viewing Publication 1 - 15 from 15

2016

Analysing Emotional Sentiment in People's YouTube Channel CommentsEleanor Mulholland, Paul Mc Kevitt, Tom Lunney, Karl-Michael Schneider. artsit 2017: 181-188 [doi]

2007

Aspect marker generation in English-to-Chinese machine translationYang Ye, Karl-Michael Schneider, Steven P. Abney. mtsummit 2007: [doi]

2006

Information extraction from calls for papers with conditional random fields and layout featuresKarl-Michael Schneider. air, 25(1-2):67-77, 2006. [doi]

2005

Weighted Average Pointwise Mutual Information for Feature Selection in Text CategorizationKarl-Michael Schneider. pkdd 2005: 252-263 [doi]

Techniques for Improving the Performance of Naive Bayes for Text ClassificationKarl-Michael Schneider. cicling 2005: 682-693 [doi]

An Evaluation of Layout Features for Information Extraction from Calls for PapersKarl-Michael Schneider. lwa 2005: 111-116

2004

Using Information Extraction to Build a Directory of Conference AnnouncementsKarl-Michael Schneider. cicling 2004: 521-532 [doi]

Learning to Filter Junk E-Mail from Positive and Unlabeled ExamplesKarl-Michael Schneider. ijcnlp 2005: 426-435 [doi]

On Word Frequency Information and Negative Evidence in Naive Bayes Text ClassificationKarl-Michael Schneider. tal 2004: 474-486 [doi]

A New Feature Selection Score for Multinomial Naive Bayes Text Classification Based on KL-DivergenceKarl-Michael Schneider. acl 2004: [doi]

2003

A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail FilteringKarl-Michael Schneider. eacl 2003: 307-314 [doi]

Tabular parsing and algebraic transformationsKarl-Michael Schneider. TCS, 293(2):365-389, 2003.

2000

Parsing Schemata for Grammars with Variable Number and Order of ConstituentsKarl-Michael Schneider. COLING 2000: 733-739 [doi]

Algebraic construction of parsing schemataKarl-Michael Schneider. PhD thesis, University of Passau, Germany, 2000. [doi]

Algebraic Construction of Parsing SchemataKarl-Michael Schneider. iwpt 2000: 242-253 [doi]

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