I just completed my second 4-year term as department chair, and I'm returning now to the best job in the world – university professor – with its largely uninterrupted focus on research and teaching.
Most machine reading projects have focused on macro-reading, i.e. skimming many documents to extract repeated facts or commonly expressed sentiments. I would like to focus primarily on micro-reading, which aims to extract considerable content from each individual document. I will assume that methods for natural-language processing will continue to improve, which will make micro-reading increasingly effective, and I will focus on issues like these:
- goal-directed navigation of a corpus of documents
- methods for (dis-)confirming information derived from text
- extracting information from diagrams and tables
- integrating extracted information into a knowledge base
- ways that macro-reading might inform micro-reading, and vice-versa
Component Library for building Knowledge Systems
KM knowledge representation and reasoning system
I will not be teaching Fall 2017. In Spring 2018, I will teach CS 302: Computer Fluency.
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