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@inproceedings{490397, author = {Popelínský, Lubomír}, address = {Ostrava}, booktitle = {Sborník konference ZNALOSTI 2003}, keywords = {machine learning; natural language processing}, language = {cze}, location = {Ostrava}, isbn = {80-248-0229-5}, pages = {18-19}, publisher = {FEI VŠB-TU Ostrava}, title = {Strojové učení a přirozený jazyk (abtrakt tutoriálu)}, year = {2003} }
TY - JOUR ID - 490397 AU - Popelínský, Lubomír PY - 2003 TI - Strojové učení a přirozený jazyk (abtrakt tutoriálu) PB - FEI VŠB-TU Ostrava CY - Ostrava SN - 8024802295 KW - machine learning KW - natural language processing N2 - Natural language processing (NLP) aims at employing computers for natural language understanding. We focus here on application machine learning in NLP, namely on instance-based learning, Bayesian methods, transformation-based learning and inductive logic programming. Different disambiguation tasks will be discussed including morphological disambiguation and word-sense disambiguation. In the second part we will introduce application of learning for document categorization and information extraction from collection of documents. We conclude with text mining. We will present the results obtained with NLP and machine learning in NLP Lab FI MU. ER -
POPELÍNSKÝ, Lubomír. Strojové učení a přirozený jazyk (abtrakt tutoriálu). In \textit{Sborník konference ZNALOSTI 2003}. Ostrava: FEI VŠB-TU Ostrava, 2003, s.~18-19. ISBN~80-248-0229-5.
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