Denilson Barbosa, PhD
Pronouns: he, him, his
Contact
Professor, Faculty of Science - Computing Science
- denilson@ualberta.ca
- Phone
- (780) 492-2285
- Address
-
4-51 Athabasca Hall
9119 116 St NWEdmonton ABT6G 2E8
Overview
Area of Study / Keywords
Natural Language Processing
About
Personal website: https://sites.ualberta.ca/~denilson
Research
My research interests are in knowledge extraction, information retrieval, and natural language processing. I also work on machine learning applied to these fields. I have supervised graduate-level research on the problems of named entity recognition, entity typing and disambiguation; open relation extraction from text, understanding social processes in Wikipedia article authoring; mining citation networks; and semistructured data management.
Announcements
Prospective graduate students: please read this before contacting me.
Courses
CMPUT 461 - Introduction to Natural Language Processing
Natural language processing (NLP) is a subfield of artificial intelligence concerned with the interactions between computers and human languages. This course is an introduction to NLP, with the emphasis on writing programs to process and analyze texts, covering both foundational aspects and applications of NLP. The course aims at a balance between classical and statistical methods for NLP, including methods based on machine learning. Prerequisites: 201 or 275, and any 300-level Computing Science course.
CMPUT 561 - Introduction to Natural Language Processing
Natural language processing (NLP) is a subfield of artificial intelligence concerned with the interactions between computers and human languages. This course is an introduction to NLP, with the emphasis on writing programs to process and analyze text corpora. The course covers both foundational aspects and applications of NLP. The course aims at a balance between classical and statistical methods for NLP, including methods based on machine learning. In this course, students will clean or otherwise pre-process natural language corpora; develop natural language processing tools; integrate existing tools into an analysis task; and apply computational methods to natural language artefacts to extract information, classify the language within the artefact, identify relationships among artefacts, or identify relationships among elements within an artefact. Credit cannot be obtained for both CMPUT 461 and 561.