Cambridge / Evaluating WordNet / London / Bucharest / /
Company
Journal Neural Information Processing Systems / Neural Information Processing Systems / Associated Press / Pearson / Journal Communications / Yahoo! / Intelligent Information Technologies / /
Country
Romania / France / Jordan / /
Currency
USD / / /
Facility
University of Bucharest / /
IndustryTerm
post-processing step / huge semantic network / post processing topic models / topic modeling algorithms / outlier detection algorithm / semantic processing / evaluation systems / post processing phase / information processing systems / word networks / /
Organization
Association for Computational Linguistics Conference / European Union / Universite Lyon / North American Chapter / University of Bucharest / Association for Computational Linguistics / /
Person
Taylor / Francis / /
Position
author / generative topic model for word sense disambiguation / topic model for word sense disambiguation / l’aide / representative / coverage &Hb / /
PublishedMedium
Computational Linguistics / Machine Learning / Communications of the ACM / The Journal of Machine Learning Research / /
Technology
outlier detection algorithm / Natural Language Processing / topic modeling algorithms / WordNet-Walk algorithm / known algorithm / Data Mining / LDA algorithm / Machine Learning / using a known algorithm / /
Concept-based Topic Model Improvement Claudiu Musat1, Julien Velcin2, Marian-Andrei Rizoiu2 and Stefan Trausan-Matu1, 1 „Politehnica“ University of Bucharest, 313 Splaiul Independentei, Bucharest, 060032, Romania