Strojové učení a přirozený jazyk (abtrakt tutoriálu)
| Title in English | Machine learning and natural language processing |
|---|---|
| Authors | |
| Year of publication | 2003 |
| Type | Article in Proceedings |
| Conference | Sborník konference ZNALOSTI 2003 |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | machine learning; natural language processing |
| 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. |
| Related projects: |