2007-01-01, Parikh, Neal, Dredze, Mark

Most models used in natural language processing must be trained on large corpora of labeled text. This tutorial explores a "primarily unsupervised" approach (based on graphical models) that augments a corpus of unlabeled text with some form of prior domain knowledge, but does not require any fully labeled examples. We survey probabilistic graphical models for (supervised) classification and sequence labeling and then present the prototype-driven approach of Haghighi and Klein (2006) to sequence labeling in detail, including a discussion of the theory and implementation of both conditional random fields and prototype learning. We show experimental results for English part of speech tagging.

2009-05-01, Dredze, Mark

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers; AI Education Workshop Colloquium; Coordination, Organizations, Institutions, and Norms in Agent Systems, Enhanced Messaging; Human Implications of Human-Robot Interaction; Intelligent Techniques for Web Personalization and Recommender Systems; Metareasoning: Thinking about Thinking; Multidisciplinary Workshop on Advances in Preference Handling; Search in Artificial Intelligence and Robotics; Spatial and Temporal Reasoning; Trading Agent Design and Analysis; Transfer Learning for Complex Tasks; What Went Wrong and Why: Lessons from AI Research and Applications; and Wikipedia and Artificial Intelligence: An Evolving Synergy.