- Language-Independent Set Expansion of Named Entities using the Web Richard C. Wang and William W. Cohen
- From Proceedings of the Eighth International Workshop on Machine Learning The Generality Of Overgenerality
- Automatically Extracting Features for Concept Learning from the Web
- Learning and Discovering Structure in Web Pages William W. Cohen
- Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
- Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data
- A Secure Protocol for Computing String Distance Metrics Pradeep Ravikumar
- Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors
- Character-level Analysis of Semi-Structured Documents for Set Expansion Richard C. Wang
- Recovering Implicit Thread Structure in Newsgroup Style Conversations
- Intra-document Structural Frequency Features for Semi-supervised Domain Adaptation
- Block-LDA: Jointly modeling entity-annotated text and entity-entity Ramnath Balasubramanyan
- Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval
- A Comparison of String Metrics for Matching Names and Records William W. Cohen Pradeep Ravikumar Stephen E. Fienberg
- Learning Graph Walk Based Similarity Measures for Parsed Text Einat Minkov
- Infrastructure Components for Large-Scale Information Extraction Systems William W. Cohen
- Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs
- Learning to Match and Cluster Large High-Dimensional Data Sets
- An Analysis of Representation Shift In Concept Learning William W. Cohen
- Learning Approximate Control Rules Of High Utility William W. Cohen
- A Webbased Information System that Reasons with Structured Collections of Text
- To appear in ``Machine Learning: Proceedings of the Twelfth International Conference'' (ML95) Text Categorization and Relational Learning
- Learning to Understand Web Site Update Requests William W. Cohen
- SimStudent: Building an Intelligent Tutoring System by Tutoring a Synthetic Student
- From ``Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth International Conference'' Learning the Classic Description Logic
- Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line
- Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text
- 2 1094-7167/03/$17.00 2003 IEEE IEEE INTELLIGENT SYSTEMS Published by the IEEE Computer Society
- A Simple, Fast, and Effective Rule Learner William W. Cohen Yoram Singer
- Contextsensitive learning methods for text categorization William W. Cohen and Yoram Singer
- Inferring Ongoing Activities of Workstation Users by Clustering Email Yifen Huang, Dinesh Govindaraju, Tom Mitchell, Vitor Rocha de Carvalho, William Cohen
- Hardening Soft Information Sources William W. Cohen \Lambda
- NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction
- Information Leaks and Suggestions: A Case Study using Mozilla Thunderbird
- Learning by Teaching SimStudent An Initial Classroom Baseline Study comparing with Cognitive Tutor
- From Proceedings of the Ninth International Conference on Machine Learning Compiling Prior Knowledge
- Structured Literature Image Finder: Parsing Text and Figures in Biomedical Literature
- Knowledge Integration for Structured Information Sources Containing Text (Extended Abstract)
- EXTRACTING AND STRUCTURING SUBCELLULAR LOCATION INFORMATION FROM ON-LINE JOURNAL ARTICLES: THE
- From ``Machine Learning: Proceedings of the Twelfth International Conference'' (ML95) Fast Effective Rule Induction
- WHIRL: A Wordbased Information Representation William W. Cohen
- A Machine Learning Approach for Automatic Student Model Nan Li and William W. Cohen and Kenneth R. Koedinger and Noboru Matsuda, Carnegie Mellon
- What pushes their buttons? Predicting comment polarity from the content of political blog posts
- Node Clustering in Graphs: An Empirical Study Ramnath Balasubramanyan
- Relational Retrieval Using a Combination of Path-Constrained Random Walks
- Fast Query Execution for Retrieval Models Based on Path-Constrained Random Walks
- A Computational Model of Accelerated Future Learning through Feature Recognition
- Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students
- Data Integration for Many Data Sources using Context-Sensitive Similarity Metrics
- Automatic Set Instance Extraction using the Web Richard C. Wang
- Structured Literature Image Finder Amr Ahmed1,6
- Structured Correspondence Topic Models for Mining Captioned Figures in Biological Literature
- Automatic Set Expansion for List Question Answering Richard C. Wang, Nico Schlaefer, William W. Cohen, and Eric Nyberg
- CutOnce -Recipient Recommendation and Leak Detection in Action Ramnath Balasubramanyan
- The MultiRank Bootstrap Algorithm: Semi-Supervised Political Blog Classification and Ranking Using Semi-
- Learning to Rank Typed Graph Walks: Local and Global Einat Minkov
- Online Stacked Graphical Learning Zhenzhen Kou
- IDENTIFYING FLUORESCENCE MICROSCOPE IMAGES IN ONLINE JOURNAL ARTICLES USING BOTH IMAGE AND TEXT FEATURES
- Preventing Information Leaks in Email Vitor R. Carvalho
- Stacked Graphical Models for Efficient Inference in Markov Random Fields Zhenzhen Kou
- A STACKED GRAPHICAL MODEL FOR ASSOCIATING INFORMATION FROM TEXT AND IMAGES IN FIGURES
- Contextual Search and Name Disambiguation in Email Using Graphs
- Improving "Email Speech Acts" Analysis via N-gram Selection Vitor R. Carvalho
- An Intelligent Authoring System with Programming by Demonstration
- Extracting Personal Names from Emails: Applying Named Entity
- A Comparison of String Distance Metrics for Name-Matching Tasks William W. Cohen
- Improving A Page Classifier with Anchor Extraction and Link Analysis
- Data Integration Using Similarity Joins and a Word-Based Information Representation
- Activity-centred Search in Email Einat Minkov
- WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction
- Random Walk Inference and Learning in A Large Scale Knowledge Base Carnegie Mellon University
- Bootstrapping Biomedical Ontologies for Scientific Text Dana Movshovitz-Attias
