Paper Info
Title
TextServer: Cloud-Based Multilingual Natural Language Processing.
Abstract
TextServer is an efficient language analysis platform which offers a variety of robust NLP services for a wide range of languages. Services can be easily accessed via a web interface, where document collections can either be uploaded and sent to batch processing, or processed in real-time via interactive calls to a web-service from any application running on a remote computer or mobile device. The services run on a high-performance-computing cluster (HPCC), and a scheduler takes care of having enough instances loaded to satisfy incoming client requests with no delay caused by initializations. TextServer offers a variety of analysis levels, ranging from tokenization or lemmatization to coreference resolution and semantic graph extraction, and aims to become a useful resource for data mining applications working on monolingual or multilingual textual data which require to obtain structured data from unrestricted text.
Year
DOI
Venue
2015
10.1109/ICDMW.2015.102
ICDM Workshops
Keywords
Field
DocType
Natural Language Processing, Text Mining, Unstructured data
Text graph,Data mining,Web mining,Computer science,Upload,Unstructured data,Artificial intelligence,Natural language processing,Semantic computing,Tokenization (data security),Information extraction,Web service,Database,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Lluís Padró154471.67
Jordi Turmo230630.52