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Semantic Software Lab
Concordia University
Montréal, Canada


Natural Language Processing

{Semantic Content Access Using Domain-Independent NLP Ontologies}

Hopfe, C. J., Y. Rezgui, E. Métais, A. D. Preece, and H. Li (Eds.), Witte, R., and R. Krestel, "{Semantic Content Access Using Domain-Independent NLP Ontologies}", 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010), no. 6177, Cardiff, UK : Springer, pp. 36--47, June 23--25, 2010.

The GATE Multi-Parser Predicate-Argument EXtractor Component (MultiPaX)

The GATE Multi-Parser Predicate-Argument EXtractor Component (MultiPaX) can extract predicate-argument structures (PAS) from the output of different parsers.

Semantic Assistants: Writer Plug-In

The Writer plug-in for the Semantic Assistants architecture provides for calling text analysis services directly from within the word processor. Results are either displayed as new documents or as annotations (using side-notes) on the existing document.

Semantic Assistants Project

In the Semantic Assistants project, we investigate how to 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.

Fuzzy Believer

The growing number of publicly available information sources makes it impossible for individuals to keep track of all the various opinions on one topic. The goal of our fuzzy believer project is to extract and analyze statements of opinion from newspaper articles.

Beliefs are modeled using a fuzzy-theoretic approach applied after NLP-based information extraction. A fuzzy believer models a human agent, deciding what statements to believe or reject based on different, configurable strategies.

Open Mutation Miner (OMM) Project

In the Open Mutation Miner (OMM) project we investigate the combination of NLP, ontologies, and bioinformatics tools for the extraction and analysis of mutations and their impacts from the bibliome.

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