NLP
Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base
Submitted by rene on Mon, 2010-07-26 09:36- Login to post comments
- Tagged
- XML
- BibTex
- Google Scholar
{Semantic Content Access Using Domain-Independent NLP Ontologies}
Submitted by rene on Wed, 2010-07-21 11:06- Login to post comments
- Tagged
- XML
- BibTex
- Google Scholar
New GATE PR: The Predicate-Argument Extractor (PAX)
At the LREC workshop New Challenges for NLP Frameworks we released a new component for GATE: The Predicate-Argument Extractor (PAX).
- Login to post comments
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: OpenOffice.org Writer Plug-In
The OpenOffice.org 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.
{A General Architecture for Connecting NLP Frameworks and Desktop Clients using Web Services}
Submitted by rene on Sat, 2009-03-14 12:18Semantic 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.
