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Description
  • 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.
  • 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. (en)
  • 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. (cs)
Title
  • Strojové učení a přirozený jazyk (abtrakt tutoriálu)
  • Strojové učení a přirozený jazyk (abtrakt tutoriálu) (cs)
  • Machine learning and natural language processing (en)
skos:prefLabel
  • Strojové učení a přirozený jazyk (abtrakt tutoriálu)
  • Strojové učení a přirozený jazyk (abtrakt tutoriálu) (cs)
  • Machine learning and natural language processing (en)
skos:notation
  • RIV/00216224:14330/03:00009163!RIV08-MSM-14330___
http://linked.open.../vavai/riv/strany
  • 18-19
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 143300003)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 629147
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/03:00009163
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • machine learning; natural language processing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BE817BE3B6EB]
http://linked.open...v/mistoKonaniAkce
  • Ostrava
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • Sborník konference ZNALOSTI 2003
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Popelínský, Lubomír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Vysoká škola báňská - Technická univerzita Ostrava. Fakulta elektrotechniky a informatiky
https://schema.org/isbn
  • 80-248-0229-5
http://localhost/t...ganizacniJednotka
  • 14330
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