This section is kind of self-explanatory but, basically the links below are to WWW resources that I have found useful while carrying out my PhD research.
- NLP Research Group - http://nlp.shef.ac.uk
- This is the home page of the natural language processing research group at the University of Sheffield of which I am currently a member. From here you can found out all about the people, and work that is done within the group.
- TREC - http://trec.nist.gov
- The Text REtrieval Conference (TREC), co-sponsored by the National Institute of Standards and Technology (NIST) and the Defence Advanced Research Projects Agency (DARPA), was started in 1992 as part of the TIPSTER Text program. Its purpose was to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies.
- GATE - http://gate.ac.uk
- GATE is an infrastructure for developing and deploying software components that process human language. GATE helps scientists and developers in three ways: by specifying an architecture, or organisational structure, for language processing software; by providing a framework, or class library, that implements the architecture and can be used to embed language processing capabilities in diverse applications and; by providing a development environment built on top of the framework made up of convenient graphical tools for developing components. The architecture exploits component-based software development, object orientation and mobile code. The framework and development environment are developed in Java by the NLP group at Sheffield University.
- WordNet - http://www.cogsci.princeton.edu/~wn/
- WordNet is an online lexical reference system. Word forms in WordNet are represented in their familiar orthography; word meanings are represented by synonym sets (synset) - lists of synonymous word forms that are interchangeable in some context. Two kinds of relations are recognized: lexical and semantic. Lexical relations hold between word forms; semantic relations hold between word meanings.