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Semantic Software Lab
Concordia University
Montréal, Canada


Natural Language Processing

TagCurate: crowdsourcing the verification of biomedical annotations to mobile users

Sateli, B., S. Luong, and R. Witte, "TagCurate: crowdsourcing the verification of biomedical annotations to mobile users", NETTAB 2013 workshop focused on Semantic, Social, and Mobile Applications for Bioinformatics and Biomedical Laboratories, vol. 19 Suppl. B, Venice Lido, Italy : EMBnet.journal, pp. 24–26, 10/2013.

Smarter Mobile Apps through Integrated Natural Language Processing Services

Daniel, F., G. A. Papadopoulos, and P. Thiran (Eds.), Sateli, B., G. Cook, and R. Witte, "Smarter Mobile Apps through Integrated Natural Language Processing Services", The 10th International Conference on Mobile Web Information Systems (MobiWIS 2013), vol. 8093, Paphos, Cyprus : Springer Berlin Heidelberg, pp. 187–202, 08/2013.

Wiki-NLP Integration Research in Concordia NOW Newsletter

Our research on Natural Language Processing (NLP) for wiki systems has been featured in Concordia University's NOW newsletter. Explaining the technology and its applications to a general audience, it quickly become one of the most read and shared articles of the week.

Natural Language Processing for MediaWiki: First major release of the Semantic Assistants Wiki-NLP Integration

We are happy to announce the first major release of our Semantic Assistants Wiki-NLP integration. This is the first comprehensive open source solution for bringing Natural Language Processing (NLP) to wiki users, in particular for wikis based on the well-known MediaWiki engine and its Semantic MediaWiki (SMW) extension. It allows you to bring novel text mining assistants to wiki users, e.g., for automatically structuring wiki pages, answering questions in natural language, quality assurance, entity detection, summarization, among others, which are deployed in the General Architecture for Text Engineering (GATE) and brokered as web services through the Semantic Assistants server.

Semantic Assistants

1. Overview

Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated with common desktop applications (word processors, email clients, Web browsers, ...), web information systems (wikis, portals) and mobile applications (based on Android). They are implemented through an open service-oriented architecture, using Semantic Web ontologies and W3C Web Services.

Semantic Assistants OverviewSemantic Assistants Overview

1.1. Info Sheets

For the impatient, we have a few info sheets available:

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