William W. Cohen

According to our database1, William W. Cohen authored at least 269 papers between 1986 and 2018.

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Bibliography

2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
CoRR, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
CoRR, 2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.
CoRR, 2018

Semi-Supervised Learning with Declaratively Specified Entropy Constraints.
CoRR, 2018

Neural Models for Reasoning over Multiple Mentions using Coreference.
CoRR, 2018

Never-ending learning.
Commun. ACM, 2018

Neural Models for Reasoning over Multiple Mentions Using Coreference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern.
Knowl.-Based Syst., 2017

Learning to Organize Knowledge with N-Gram Machines.
CoRR, 2017

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.
CoRR, 2017

Differentiable Learning of Logical Rules for Knowledge Base Completion.
CoRR, 2017

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks.
CoRR, 2017

Semi-Supervised QA with Generative Domain-Adaptive Nets.
CoRR, 2017

Linguistic Knowledge as Memory for Recurrent Neural Networks.
CoRR, 2017

Quasar: Datasets for Question Answering by Search and Reading.
CoRR, 2017

A Comparative Study of Word Embeddings for Reading Comprehension.
CoRR, 2017

Good Semi-supervised Learning that Requires a Bad GAN.
CoRR, 2017

TensorLog: Deep Learning Meets Probabilistic DBs.
CoRR, 2017

Explainable Entity-based Recommendations with Knowledge Graphs.
CoRR, 2017

TransNets: Learning to Transform for Recommendation.
CoRR, 2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
CoRR, 2017

Explainable Entity-based Recommendations with Knowledge Graphs.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

TransNets: Learning to Transform for Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Differentiable Learning of Logical Rules for Knowledge Base Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Good Semi-supervised Learning That Requires a Bad GAN.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collective Entity Linking in Tweets Over Space and Time.
Proceedings of the Advances in Information Retrieval, 2017

Semi-Supervised QA with Generative Domain-Adaptive Nets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Gated-Attention Readers for Text Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Encode, Review, and Decode: Reviewer Module for Caption Generation.
CoRR, 2016

Multi-Task Cross-Lingual Sequence Tagging from Scratch.
CoRR, 2016

Words or Characters? Fine-grained Gating for Reading Comprehension.
CoRR, 2016

Revisiting Semi-Supervised Learning with Graph Embeddings.
CoRR, 2016

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams.
CoRR, 2016

Tweet2Vec: Character-Based Distributed Representations for Social Media.
CoRR, 2016

Gated-Attention Readers for Text Comprehension.
CoRR, 2016

TensorLog: A Differentiable Deductive Database.
CoRR, 2016

Distant IE by Bootstrapping Using Lists and Document Structure.
CoRR, 2016

Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora.
CoRR, 2016

Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Review Networks for Caption Generation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Scalable Statistical Relational Learning for NLP.
Proceedings of the Tutorial Abstracts, 2016

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning First-Order Logic Embeddings via Matrix Factorization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Revisiting Semi-Supervised Learning with Graph Embeddings.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Tweet2Vec: Character-Based Distributed Representations for Social Media.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Distant IE by Bootstrapping Using Lists and Document Structure.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval.
SIGIR Forum, 2015

Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic.
Machine Learning, 2015

Programming with "Big Code" (Dagstuhl Seminar 15472).
Dagstuhl Reports, 2015

Grounded Discovery of Coordinate Term Relationships between Software Entities.
CoRR, 2015

Using Semantics and Statistics to Turn Data into Knowledge.
AI Magazine, 2015

Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring.
I. J. Artificial Intelligence in Education, 2015

Integrating representation learning and skill learning in a human-like intelligent agent.
Artif. Intell., 2015

Automatic Gloss Finding for a Knowledge Base using Ontological Constraints.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

A Soft Version of Predicate Invention Based on Structured Sparsity.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning to Identify the Best Contexts for Knowledge-based WSD.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Learning Relational Features with Backward Random Walks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


2014
Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Adaptive graph walk-based similarity measures for parsed text.
Natural Language Engineering, 2014

Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic.
CoRR, 2014

On Modeling Community Behaviors and Sentiments in Microblogging.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Structure Learning via Parameter Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic
CoRR, 2013

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch.
CoRR, 2013

WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction.
CoRR, 2013

Exploratory Learning.
CoRR, 2013

The Effect of Biased Communications On Both Trusting and Suspicious Voters.
CoRR, 2013

Problem Order Implications for Learning.
I. J. Artificial Intelligence in Education, 2013

Creating an educational robot by embedding a learning agent in the physical world (abstract only).
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Knowledge Graph Identification.
Proceedings of the Semantic Web - ISWC 2013, 2013

Very Fast Similarity Queries on Semi-Structured Data from the Web.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Regularization of Latent Variable Models to Obtain Sparsity.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Exploratory Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

What's in a Domain? Multi-Domain Learning for Multi-Attribute Data.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Discovering Student Models with a Clustering Algorithm Using Problem Content.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

General and Efficient Cognitive Model Discovery Using a Simulated Student.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Programming with personalized pagerank: a locally groundable first-order probabilistic logic.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Ontology-aware partitioning for knowledge graph identification.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

Classifying entities into an incomplete ontology.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

Politics, sharing and emotion in microblogs.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Integrating Perceptual Learning with External World Knowledge in a Simulated Student.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Natural Language Models for Predicting Programming Comments.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Large-Scale Knowledge Graph Identification Using PSL.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
A Hierarchical Graphical Model for Record Linkage
CoRR, 2012

WebSets: extracting sets of entities from the web using unsupervised information extraction.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Graph Based Similarity Measures for Synonym Extraction from Parsed Text.
Proceedings of TextGraphs@ACL 2012: the 7th Workshop on Graph-based Methods for Natural Language Processing, 2012

Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Collectively Representing Semi-Structured Data from the Web.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Efficient Cross-Domain Learning of Complex Skills.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Problem Order Implications for Learning Transfer.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Modeling Polarizing Topics: When Do Different Political Communities Respond Differently to the Same News?
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

A General and Scalable Approach to Mixed Membership Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Integrating perceptual representation learning and skill learning in a simulated student.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Reading The Web with Learned Syntactic-Semantic Inference Rules.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Multi-Domain Learning: When Do Domains Matter?
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Creating Features from a Learned Grammar in a Simulated Student.
Proceedings of the ECAI 2012, 2012

Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations.
Proceedings of the 2012 IEEE Fourth International Conference On Digital Game And Intelligent Toy Enhanced Learning, 2012

Shallow learning as a pathway for successful learning both for tutors and tutees.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Learning similarity measures based on random walks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Community-based classification of noun phrases in twitter.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Alignment-HMM-based Extraction of Abbreviations from Biomedical Text.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

Bootstrapping Biomedical Ontologies for Scientific Text using NELL.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

Invited Talks.
Proceedings of the Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, 2012

2011
Technical Paper Recommendation: A Study in Combining Multiple Information Sources
CoRR, 2011

Learning to Order Things
CoRR, 2011

Block-LDA: Jointly modeling entity-annotated text and entity-entity links.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Random Walk Inference and Learning in A Large Scale Knowledge Base.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Structured Databases of Named Entities from Bayesian Nonparametrics.
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, 2011

A Machine Learning Approach for Automatic Student Model Discovery.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Learning by Teaching SimStudent - Interactive Event.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Sem., 2010

Improving graph-walk-based similarity with reranking: Case studies for personal information management.
ACM Trans. Inf. Syst., 2010

Relational retrieval using a combination of path-constrained random walks.
Machine Learning, 2010

Entity List Completion Using Set Expansion Techniques.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Signal/Collect: Graph Algorithms for the (Semantic) Web.
Proceedings of the Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, 2010

Efficient Relational Learning with Hidden Variable Detection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Fast query execution for retrieval models based on path-constrained random walks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Learning by Teaching SimStudent.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

A Computational Model of Accelerated Future Learning through Feature Recognition.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Power Iteration Clustering.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Very Fast Method for Clustering Big Text Datasets.
Proceedings of the ECAI 2010, 2010

Semi-Supervised Classification of Network Data Using Very Few Labels.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Towards a Computational Model of Why Some Students Learn Faster than Others.
Proceedings of the Cognitive and Metacognitive Educational Systems, 2010

Integrating Transfer Learning in Synthetic Student.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection.
Proceedings of the Wireless Algorithms, 2009

Predicting Response to Political Blog Posts with Topic Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Structured correspondence topic models for mining captioned figures in biological literature.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Character-level Analysis of Semi-Structured Documents for Set Expansion.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Automatic Set Instance Extraction using the Web.
Proceedings of the ACL 2009, 2009

2008
Joint latent topic models for text and citations.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Recovering Implicit Thread Structure in Newsgroup Style Conversations.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

The MultiRank Bootstrap Algorithm: Self-Supervised Political Blog Classification and Ranking Using Semi-Supervised Link Classification.
Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Iterative Set Expansion of Named Entities Using the Web.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Automatic Set Expansion for List Question Answering.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Graph Walk Based Similarity Measures for Parsed Text.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Ranking Users for Intelligent Message Addressing.
Proceedings of the Advances in Information Retrieval , 2008

Suppressing outliers in pairwise preference ranking.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Intra-document structural frequency features for semi-supervised domain adaptation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Activity-centred Search in Email.
Proceedings of the CEAS 2008, 2008

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition.
Proceedings of the ACL 2008, 2008

2007
Extending WHIRL with background knowledge for improved text classification.
Inf. Retr., 2007

Evaluating a Simulated Student Using Real Students Data for Training and Testing.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

Stacked Graphical Models for Efficient Inference in Markov Random Fields.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Preventing Information Leaks in Email.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

A Stacked Graphical Model for Associating Sub-Images with Sub-Captions.
Proceedings of the Biocomputing 2007, 2007

Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Machine Learning for Information Management: Some Promising Directions.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Language-Independent Set Expansion of Named Entities Using the Web.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Comparative Study of Methods for Transductive Transfer Learning.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Discovering Leadership Roles in Email Workgroups.
Proceedings of the CEAS 2007, 2007

Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation.
Proceedings of the Artificial Intelligence in Education, 2007

2006
A graph-search framework for associating gene identifiers with documents.
BMC Bioinformatics, 2006

Contextual search and name disambiguation in email using graphs.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

NER Systems that Suit User's Preferences: Adjusting the Recall-Precision Trade-off for Entity Extraction.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Single-pass online learning: performance, voting schemes and online feature selection.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

An Email and Meeting Assistant Using Graph Walks.
Proceedings of the CEAS 2006, 2006

2005
On the collective classification of email "speech acts".
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text.
Proceedings of the HLT/EMNLP 2005, 2005

High-recall protein entity recognition using a dictionary.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Learning to Understand Web Site Update Requests.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Stacked Sequential Learning.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment.
Proceedings of the Artificial Intelligence in Education, 2005

2004
A Hierarchical Graphical Model for Record Linkage.
Proceedings of the UAI '04, 2004

Semi-Markov Conditional Random Fields for Information Extraction.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Learning to Classify Email into "Speech Acts".
Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

Inferring Ongoing Activities of Workstation Users by Clustering Email.
Proceedings of the CEAS 2004, 2004

Learning to Extract Signature and Reply Lines from Email.
Proceedings of the CEAS 2004, 2004

2003
Adaptive Name Matching in Information Integration.
IEEE Intelligent Systems, 2003

Learning and Discovering Structure in Web Pages.
IEEE Data Eng. Bull., 2003

Beyond independent relevance: methods and evaluation metrics for subtopic retrieval.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Extracting information from text and images for location proteomics.
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Understanding captions in biomedical publications.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

A Comparison of String Distance Metrics for Name-Matching Tasks.
Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

Infrastructure Components for Large-Scale Information Extraction Systems.
Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, 2003

2002
A flexible learning system for wrapping tables and lists in HTML documents.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Improving a Page Classifier with Anchor Extraction and Link Analysis.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning to match and cluster large high-dimensional data sets for data integration.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
Technical Paper Recommendation: A Study in Combining Multiple Information Sources.
J. Artif. Intell. Res., 2001

Issues in Extracting Information from the Web.
Proceedings of the Seventh International Workshop on Parsing Technologies (IWPT-2001), 2001

2000
Data integration using similarity joins and a word-based information representation language.
ACM Trans. Inf. Syst., 2000

Special Issue of Machine Learning on Information Retrieval - Introduction.
Machine Learning, 2000

Learning to Understand the Web.
IEEE Data Eng. Bull., 2000

Web-collaborative filtering: recommending music by crawling the Web.
Computer Networks, 2000

WHIRL: A word-based information representation language.
Artif. Intell., 2000

Hardening soft information sources.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Automatically Extracting Features for Concept Learning from the Web.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Extracting Information from the Web for Concept Learning and Collaborative Filtering.
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999
Context-Sensitive Learning Methods for Text Categorization.
ACM Trans. Inf. Syst., 1999

Learning to Order Things.
J. Artif. Intell. Res., 1999

Automatically Exploring Hypotheses About Fault Prediction: A Comparative Study of Inductive Logic Programming Methods.
International Journal of Software Engineering and Knowledge Engineering, 1999

Learning Page-Independent Heuristics for Extracting Data from Web Pages.
Computer Networks, 1999

Reasoning about Textual Similarity in a Web-Based Information Access System.
Autonomous Agents and Multi-Agent Systems, 1999

Some Practical Observations on Integration of Web Information.
Proceedings of the ACM SIGMOD Workshop on The Web and Databases, 1999

A Demonstration of WHIRL (demonstration abstract).
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

A Simple, Fast, and Effictive Rule Learner.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

Recognizing Structure in Web Pages using Similarity Queries.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
Hardness Results for Learning First-Order Representations and Programming by Demonstration.
Machine Learning, 1998

Communication Performance of Java-Based Parallel Virtual Machines.
Concurrency - Practice and Experience, 1998

Providing Database-like Access to the Web Using Queries Based on Textual Similarity.
Proceedings of the SIGMOD 1998, 1998

Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity.
Proceedings of the SIGMOD 1998, 1998

Joins that Generalize: Text Classification Using WHIRL.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Web-Based Information System that Reasons with Structured Collections of Text.
Proceedings of the Second International Conference on Autonomous Agents, 1998

Recommendation as Classification: Using Social and Content-Based Information in Recommendation.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Learning to Order Things.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Transferring and Retraining Learned Information Filters.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Adaptive mapping and navigation by teams of simple robots.
Robotics and Autonomous Systems, 1996

Context-sensitive Learning Methods for Text Categorization.
Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1996

The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract).
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

Learning Trees and Rules with Set-Valued Features.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
Polynomial Learnability and Inductive Logic Programming: Methods and Results.
New Generation Comput., 1995

Pac-learning Recursive Logic Programs: Negative Results.
J. Artif. Intell. Res., 1995

Pac-Learning Recursive Logic Programs: Efficient Algorithms.
J. Artif. Intell. Res., 1995

Pac-learning Recursive Logic Programs: Negative Results
CoRR, 1995

Pac-Learning Recursive Logic Programs: Efficient Algorithms
CoRR, 1995

Inductive Specification Recovery: Understanding Software by Learning from Example Behaviors.
Autom. Softw. Eng., 1995

Pac-Learning Non-Recursive Prolog Clauses.
Artif. Intell., 1995

Text Categorization and Relational Learning.
Proceedings of the Machine Learning, 1995

Fast Effective Rule Induction.
Proceedings of the Machine Learning, 1995

Corrigendum for "Learnability of Description Logics".
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994
The Case for Explicit Exceptions.
Meth. of Logic in CS, 1994

The Learnability of Description Logics with Equality Constraints.
Machine Learning, 1994

Incremental Abductive EBL.
Machine Learning, 1994

Grammatically Biased Learning: Learning Logic Programs Using an Explicit Antecedent Description Language.
Artif. Intell., 1994

Learning the Classic Description Logic: Theoretical and Experimental Results.
Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning (KR'94). Bonn, 1994

Pac-Learning Nondeterminate Clauses.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Recovering Software Specifications with Inductive Logic Programming.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993
Creating a Memory of Casual Relationships (Book Review).
Machine Learning, 1993

Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Pac-Learning a Restricted Class of Recursive Logic Programs.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

Cryptographic Limitations on Learning One-Clause Logic Programs.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992
Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem.
Machine Learning, 1992

Using Distribution-Free Learning Theory to Analyze Solution Path Caching Mechan isms.
Computational Intelligence, 1992

Learnability of Description Logics.
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

Desiderata for Generalization-to-N Algorithms.
Proceedings of the Analogical and Inductive Inference, 1992

Computing Least Common Subsumers in Description Logics.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
The Generality of Overgenerality.
Proceedings of the Eighth International Workshop (ML91), 1991

1990
Learning Approximate Control Rules of High Utility.
Proceedings of the Machine Learning, 1990

An Analysis of Representation Shift in Concept Learning.
Proceedings of the Machine Learning, 1990

Learning from Textbook Knowledge: A Case Study.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1988
Generalizing Number and Learning from Multiple Examples in Explanation Based Learning.
Proceedings of the Machine Learning, 1988

1986
Synthesis and Optimization of Multilevel Logic under Timing Constraints.
IEEE Trans. on CAD of Integrated Circuits and Systems, 1986


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