Description
Text, Speech and Dialogue, 2014
17th International Conference, TSD 2014, Brno, Czech Republic, September 8-12, 2014, Proceedings
Lecture Notes in Artificial Intelligence Series
Coordinators: Sojka Petr, Horák Aleš, Kopeček Ivan, Pala Karel
Language: EnglishSubjects for Text, Speech and Dialogue:
Keywords
classification; clustering; computational linguistics; computational linguistics; dialogue systems; document classification; document segmentation; electronic corpora; face recognition; feature selection; finite state machines; grammar checking; language identification; language modeling; language modling; natural language processing; quality of synthetic speech; speech synthesis; text analytics
613 p. · 15.5x23.5 cm · Paperback
Description
/li>Contents
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Empiric Introduction to Light Stochastic Binarization.- Comparative Study Concerning the Role of Surface Morphological Features in the Induction of Part-of-Speech Categories.- Automatic Adaptation of Author’s Stylometric Features to Document Types.- Detecting Commas in Slovak Legal Texts.- Detection and Classification of events in Hungarian natural language texts.- Generating Underspecified Descriptions of Landmark Objects.- A Topic Model Scoring Approach for Personalized QA Systems.- Feature Exploration for Authorship Attribution of Lithuanian Parliamentary Speeches.- Processing of Quantitative Expressions with Measurement Units in the Nominative, Genitive, and Accusative Cases for Belarusian and Russian.- Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling.- Sentence Similarity by Combining Explicit Semantic Analysis and Overlapping N-grams.