Papers by Year

2008

• Andrew B. Goldberg, Ming Li, and Xiaojin Zhu. Online Manifold Regularization: A New Learning Setting and Empirical Study. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008).
• Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, and Lijie Heng. Easy as ABC? Facilitating pictorial communication via semantically enhanced layout. Twelfth Conference on Computational Natural Language Learning (CoNLL 2008).
• Jerry Zhu, Andrew B. Goldberg, Michael Rabbat, and Robert Nowak. Learning bigrams from unigrams. 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2008).

2007

• Jerry Zhu, Andrew B. Goldberg, Mohamed Eldawy, Charles Dyer, and Bradley Strock. A text-to-picture synthesis system for augmenting communication. The Integrated Intelligence Track of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2007).
• Jerry Zhu and Andrew B. Goldberg. Kernel regression with order preferences. Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2007). (Also see technical report version below.)
• Jerry Zhu, Andrew B. Goldberg, Jurgen Van Gael, David Andrzejewski. Improving Diversity in Ranking using Absorbing Random Walks. Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2007).
• Andrew B. Goldberg, Jerry Zhu, and Stephen Wright. Dissimilarity in Graph-Based Semi-Supervised Classification. Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007).

2006

• Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, and Mark Craven. Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. Proceedings of the Fifteenth Text Retrieval Conference (TREC 2006).
• Andrew B. Goldberg and Jerry Zhu. Semi-supervised Regression with Order Preferences. Computer Sciences TR 1578, University of Wisconsin - Madison.
• Andrew B. Goldberg and Jerry Zhu. Seeing stars when there aren't many stars: Graph-based semi-supervised learning for sentiment categorization. HLT-NAACL 2006 Workshop on Textgraphs: Graph-based Algorithms for Natural Language Processing.

Presentations & Posters

• Seeing stars when there aren't many stars: Graph-based semi-supervised learning for sentiment categorization. Presented at HLT-NAACL 2006 TextGraphs Workshop, June 2006. [PDF slides]
• Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin-Madison at TREC Genomics 2006. Oral presentation and poster at TREC (Text REtrieval Conference) 2006, November 2006. [PDF slides | PDF poster]

Lecture Notes & Slides

• Automatic Summarization: notes discussing supervised and unsupervised approaches to keyphrase extraction and document summarization. Prepared for a guest lecture in CS 769 (Advanced NLP) (formerly CS 838) and makes reference to the summarization-related papers listed on that course Web site. [Notes | Slides]

Undergraduate Thesis

• Andrew B. Goldberg. Highly Constrained Sports Scheduling With Genetic Algorithms. Senior Thesis. Amherst College, 2003.

Books

• Deitel, Harvey M., Paul J. Deitel, and Andrew B. Goldberg. Internet & World Wide Web How to Program. 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2003. [Publisher site | Amazon.com]