An Intelligent Agent That Autonomously Learns How to Translate
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
An innovative approach to the development of E-government search services
EGOVIS'11 Proceedings of the Second international conference on Electronic government and the information systems perspective
Improving automated documentation to code traceability by combining retrieval techniques
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
An intelligent Web agent that autonomously learns how to translate
Web Intelligence and Agent Systems
| Hi-index | 0.00 |
Lucene, LingPipe, and Gate are popular open source tools to build powerful search applications. Building Search Applications describes functions from Lucene that include indexing, searching, ranking, and spelling correction to build search engines. Use LingPipe and Gate to find the meaning of text to make search applications more useful. With this book you will learn to: - Extract tokens from text using custom tokenizers and analyzers from Lucene, LingPipe, and Gate. - Construct a search engine index with an optional backend database to manage large document collections. - Explore the wide range of Lucene queries to search an index, understand the ranking algorithm for a query, and suggest spelling corrections. - Find the names of people, places, and other entities in text using LingPipe and Gate. - Categorize documents by topic using classifiers and build groups of self-organized documents using clustering algorithms from LingPipe. - Create a Web crawler to scan the We b, Intranet, or desktop using Nutch. - Track the sentiment of articles published on the Web with LingPipe - Detect plagiarism of documents using a registered document collection.