Denilson Barbosa, PhD

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.

Prospective graduate students: please read this before contacting me.

CMPUT 361 - Introduction to Information Retrieval

Introduction to information retrieval focusing on algorithms and data structures for organizing and searching through large collections of documents, and techniques for evaluating the quality of search results. Topics include boolean retrieval, keyword and phrase queries, ranking, index optimization, practical machine-learning algorithms for text, and optimizations used by Web search engines. Prerequisites: CMPUT 201 and CMPUT 204, or 275. One of MATH 102, 125, or 127 is strongly recommended.

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 501 - Topics in Computing Science

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