| Description |
1 online resource (viii, 294 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Natural language processing,
1567-8202 ;
v. 7
|
|
Natural language processing ; v. 7.
1567-8202
|
| Bibliography |
Includes bibliographical references (pages 268-283) and index. |
| Summary |
Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare appl. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Computational linguistics.
|
|
Computational linguistics. |
|
Parsing (Computer grammar)
|
|
Parsing (Computer grammar) |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Kübler, Sandra. Memory-based parsing. Amsterdam ; Philadelphia : J. Benjamins, ©2004 9027249911 (DLC) 2004052954 (OCoLC)56420387 |
| ISBN |
9789027275141 (electronic book) |
|
9027275149 (electronic book) |
|
1283280124 |
|
9781283280129 |
|
9027249911 |
|
9789027249913 |
|
1588115909 |
|
9781588115904 |
|
