Ted Pedersen
Location: (Duluth, Minnesota, USA)
Personal Research Web Page: http://www.d.umn.edu/~tpederse
Keywords: natural language processing, word sense disambiguation, sense induction, health informatics, semantic similarity
Posted on: Tuesday, May 31st, 2011
Broad Research Area: AI / Machine Learning / Robotics / Vision, Databases / Information Retrieval / Data Mining, Scientific/Medical Informatics
Research Interests:
My areas of expertise are in Natural Language Processing and Computational Linguistics. The long term goal of my research is to develop methods and systems that automatically discover the
meaning of written text and understand its content. To that end, I am developing techniques that
(1) cluster short text snippets based on the similarity of their content, (2) discover word meanings in large corpora of text, (3) assign meanings from a dictionary to words in running text, and (4) measure the semantic similarity and relatedness between concepts. I place a high priority on releasing and maintaining free open source software packages to enable others to reproduce and extend our work.
Contact Information:
Please contact via email.
