Last Updated: February 08, 2008

Tutorial Handouts

• Automatic Semantic Role Labeling
  AAAI-07 (The 22nd Conference on Artificial Intelligence), July, 2007, Vancouver, BC, Canada
  with K. Toutanova
• Automatic Semantic Role Labeling
  HLT-NAACL-06 (Human Language Technology conference - North American chapter of the Association for Computational Linguistics annual meeting), June, 2006, New York City
  with K. Toutanova

Book Chapter

• Global Inference for Entities and Relations Identification via a Linear Programming Formulation
  Introduction to Statistical Relational Learning, Getoor and Taskar, eds.
  with D. Roth

Journals

• The Importance of Syntactic Parsing and Inference in Semantic Role Labeling
  To appear in Computational Linguistics - Special Issue on Semantic Role Labeling .
  with V. Punyakanok, D. Roth
• Propositionalization of Relational Learning: An Information Extraction Case Study
  In submission.
  with D. Roth

Conferences

• Site-Independent Template-Block Detection (abstract & bib)
  PKDD-07 (The 11th European Conference on Principles and Practice of Knowledge Discovery in Databases), Sep 2007
  A. Kolcz, W. Yih
• Raising the Baseline for High-Precision Text Classifiers (abstract & bib)
  KDD-07 (The 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), Aug 2007
  A. Kolcz, W. Yih
Improving naive Bayes using document-specific feature selection in training, L1 document length normalization and better term weighting functions.
• Improving Spam Filtering by Detecting Gray Mail (abstract & bib)
  CEAS-07 (The 4th Conference on Email and Anti-Spam) short paper, Aug 2007
  W. Yih, R McCann, A. Kolcz
Investigating the problem of gray mail -- mail that is not clearly spam or good. Comparing four methods for identifying gray mail.
• Improving Similarity Measures for Short Segments of Text (abstract & bib)
  AAAI-07 (The 22nd Conference on Artificial Intelligence) AI & the Web Track, July 2007
  W. Yih, C. Meek
Using a better term-weighting function provided by keyword extraction for query expansion. Combining multiple similarity measures using machine learning.
• Multi-Document Summarization by Maximizing Informative Content-Words (abstract & bib)
  IJCAI-07 (The 20th International Joint Conference on Artificial Intelligence), Jan. 2007
  W. Yih, J. Goodman, L. Vanderwende, H. Suzuki
Summarizing a cluster of similar documents by selecting sentences with the most important words together.
• Learning at Low False Positive Rates (abstract & bib)
  CEAS-06 (The 3rd Conference on Email and Anti-Spam), July 2006
  W. Yih, J. Goodman, G. Hulten
A two-stage cascade model for spam filtering. Improving logistic regression and naive Bayes by 20% and 40% respectively when combined with stratification.
• Online Discriminative Spam Filter Training (abstract & bib)
  CEAS-06 (The 3rd Conference on Email and Anti-Spam) short paper, July 2006
  J. Goodman, W. Yih
Online logistic regression model for spam filtering on TREC data.
• Improved Discriminative Bilingual Word Alignment (abstract & bib)
  COLING-ACL-06 (The 21st International Conference on Computational Linguistics and The Association for Computational Linguistics 44th Annual Meeting), July 2006
  R. Moore, W. Yih, A. Bode
State-of-the-art bilingual word alignment method using Perceptron and SVM-struct.
• Finding Advertising Keywords on Web Pages (abstract & bib)
  WWW-06 (The 15th International World Wide Web Conference), June 2006
  W. Yih, J. Goodman, V. Carvalho
Judging the relevancy of words/phrases in a given Web page using a logistic regression model. Identifying the importance of search query log features.
• Integer Linear Programming Inference for Conditional Random Fields (abstract & bib)
  ICML-05 (The 22nd International Conference on Machine Learning), Aug. 2005
  with D. Roth
Extending Conditional Random Fields with expressive, non-sequential, constraints. Comparing multiple joint inference training paradigms for structure learning in the context of SRL.
• The Necessity of Syntactic Parsing for Semantic Role Labeling (abstract & bib)
  IJCAI-05 (The 19th International Joint Conference on Artificial Intelligence), Aug. 2005
  with V. Punyakanok, D. Roth
An Analysis of the impact of syntactic parsing on semantic role labeling. Joint inference is used both to guarantee coherent SRL output and to combine several SRL systems.
• Learning and Inference over Constrained Output (abstract & bib)
  IJCAI-05 (The 19th International Joint Conference on Artificial Intelligence), Aug. 2005
  with V. Punyakanok, D. Roth, D. Zimak
Structure Learning; Joint Inference;
Learning + Inference vs. Inference based Training Algorithms
• Generalized Inference with Multiple Semantic Role Labeling Systems (abstract & bib)
  CoNLL-05 shared task (The 9th Conference on Computational Natural Language Learning), June, 2005
  with V. Punyakanok, D. Roth
Semantic Parsing; joint inference; integer linear programming; combining SRL systems via joint inference;
The best system in the CoNLL-2005 shared task (of 19 teams)
• Mining Online Deal Forums for Hot Deals (abstract & bib)
  WI-04 (The 2004 IEEE/WIC/ACM International Conference on Web Intelligence 2004), Sep. 2004
  W. Yih, P. Chang, W. Kim
Applying topic and sentiment text classification to online web forums
• Semantic Role Labeling via Integer Linear Programming Inference (abstract & bib)
  COLING-04 (The 20th International Conference on Computational Linguistics), Aug, 2004
  with V. Punyakanok, D. Roth, D. Zimak
Semantic Parsing; Structure Learning with Expressive Constraints; Constraint Optimization; Integer Linear Programming
• A Linear Programming Formulation for Global Inference in Natural Language Tasks (abstract & bib)
  CoNLL-04 (The 8th Conference on Computational Natural Language Learning), May 2004
  with D. Roth
Simultaneous recognition of Named Entities and Relations between them. Learning and Inference via an Integer Linear Programming framework; Structure Learning; Avoiding Pipeline Processing
• Semantic Role Labeling via Generalized Inference over Classifiers (abstract & bib)
  CoNLL-04 shared task (The 8th Conference on Computational Natural Language Learning), May 2004
  with V. Punyakanok, D. Roth, Y. Tu, D. Zimak
Semantic Parsing; Structure Learning with Expressive Constraints; Constraint Optimization; Integer Linear Programming;
The 2nd best system in the CoNLL-2004 shared task (of 10 teams)
• Probabilistic Reasoning for Entity & Relation Recognition (abstract & bib)
  COLING-02 (The 19th International Conference on Computational Linguistics), Aug. 2002
  with D. Roth
Entity And Relation Recognition; Simultaneous Identification of Entities and Relations
• Relational Learning via Propositional Algorithms: An Information Extraction Case Study
  (abstract & bib)
  IJCAI-01 (The 17th International Joint Conference on Artificial Intelligence), Aug. 2001
  with D. Roth
Expressive, Relational Features for Information Extraction
• Template-based Information Mining from HTML Documents (abstract & bib)
  AAAI-97 (The 14th National Conference on Artificial Intelligence), July 1997
  J. Hsu, W. Yih

Workshops

• Learning and Inference over Constrained Output
  The Learning Workshop 2005, Apr. 2005
  with V. Punyakanok, D. Roth, D. Zimak
• Learning via Inference over Structurally Constrained Output (abstract & bib)
  NIPS-04 Learning With Structured Outputs Workshop (The 18th Annual Conference on Neural Information Processing Systems), Dec. 2004
  with V. Punyakanok, D. Roth, D. Zimak
• Mapping Dependencies Trees: An application to Question Answering (abstract & bib)
  AI&Math-04 special session (The 8th International Symposium on Artificial Intelligence and Mathematics), Jan. 2004
  with V. Punyakanok, D. Roth
• A Linear Programming Formulation for Global Inference in Natural Language Tasks (abstract & bib)
  AI&Math-04 special session (The 8th International Symposium on Artificial Intelligence and Mathematics), Jan. 2004
  with D. Roth
• Question-Answering via Enhanced Understanding of Questions (abstract & bib)
  TREC-02 (The 11th Text REtrieval Conference), Nov. 2002
  with C. Cumby, X. Li, P. Morie, R. Nagarajan, N. Rizzolo, D. Roth, K. Small
• Learning Components for A Question-Answering System (abstract & bib)
  TREC-01 (The 10th Text REtrieval Conference), Nov. 2001
  with G. Kao, X. Li, R. Nagarajan, V. Punyakanok, N. Rizzolo, D. Roth, C. Alm, L. Moran

Technical Reports

• Natural Language Inference via Dependency Tree Mapping: An Application to Question Answering
  Technical Report, Department of Computer Science, University of Illinois at Urbana-Champaign, 2005
  with V. Punyakanok, D. Roth
• Relational Learning via Propositional Algorithms: An Information Extraction Case Study
  Technical Report UIUCDCS-R-2002-2300, University of Illinois at Urbana-Champaign, Oct. 2002
  with D. Roth

Miscellaneous

• Global Inference Using Integer Linear Programming
  W. Yih
  This report gives a simple but complete step-by-step case study, which demonstrates how we apply integer linear programming to solve a global inference problem in natural language processing.

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