Machine learning and natural language processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00009163" target="_blank" >RIV/00216224:14330/03:00009163 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
čeština
Original language name
Strojové učení a přirozený jazyk (abtrakt tutoriálu)
Original language 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 logicprogramming. 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 fromcollection of documents. We conclude with text mining. We will present the results obtained with NLP and machine learning in NLP Lab FI MU.
Czech name
Strojové učení a přirozený jazyk (abtrakt tutoriálu)
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník konference ZNALOSTI 2003
ISBN
80-248-0229-5
ISSN
—
e-ISSN
—
Number of pages
2
Pages from-to
18-19
Publisher name
FEI VŠB-TU Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Jan 1, 2003
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—