Tutorials, surveys, and position papers

• Towards Web-Scale Information Extraction [ webcast recording ] [ slides ],
  Eugene Agichtein,
  Tutorial (invited), ACM SIGKDD Webinar, 2007
• Scalable Information Extraction and Integration,
  Eugene Agichtein and Sunita Sarawagi,
  Tutorial at the ACM Conference on Knowledge Discovery and Data Mining (KDD 2006), 2006
• Web Information Extraction and User Information Needs: Towards Closing the Gap,
  Eugene Agichtein,
  Position paper (invited) in the IEEE Data Engineering Bulletin issue on Web-Scale Data, Systems, and Semantics, 2006
• Scaling Information Extraction to Large Document Collections,
  Eugene Agichtein,
  Survey (invited) in the IEEE Data Engineering Bulletin issue on Searching and Mining Literature Digital Libraries, 2005

Refereed conference and journal publications

• Predicting Information Seeker Satisfaction in Community Question Answering,
  Yandong Liu, Jiang Bian, and Eugene Agichtein,
  ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2008
• Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media,
  Jiang Bian, Yandong Liu, Eugene Agichtein, and Hongyuan Zha,
  International World Wide Web Conference (WWW), 2008
• You've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering,
  Yandong Liu and Eugene Agichtein,
  Annual Meeting of the Association of Computational Linguistics (ACL), 2008
• CoCQA: Co-Training Over Questions and Answers with an Application to Predicting Question Subjectivity Orientation,
  Baoli Li, Yandong Liu, and Eugene Agichtein,
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2008
• Finding High Quality Content in Social Media,
  Eugene Agichtein, Carlos Castillo, Debora Donato, Aristides Gionis, Gilad Mishne,
  ACM Web Search and Data Mining Conference (WSDM), 2008
• Discovering Semantic Biomedical Relations utilizing the Web,
  Saurav Sahay, Sougata Mukherjea, Eugene Agichtein, Ernest V Garcia, Shamkant Navathe, and Ashwin Ram,
  ACM Transactions on Knowledge Discovery from Data, special issue on Bioinformatics, 2008
• The Influence of Caption Features on Clickthrough Patterns in Web Search,
  Charlie Clarke, Eugene Agichtein, Susan Dumais and Ryen W. White,
  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2007
• Question Answering over Implicitly Structured Web Content [ slides ], 
  Eugene Agichtein, Chris Burges, and Eric Brill,
  IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2007
• Towards a Query Optimizer for Text-Centric Tasks,
  Panagiotis Ipeirotis, Eugene Agichtein, Pranay Jain, and Luis Gravano,
  ACM Transactions on Database Systems (TODS), vol. 32, no. 4, December 2007
• To Search or to Crawl: Towards a Query Optimizer for Text-Centric Tasks [ slides ],
  Panagiotis Ipeirotis, Eugene Agichtein, Pranay Jain, and Luis Gravano,
  ACM Conference on Management of Data (SIGMOD), 2006, Best Paper Award
• Improving Web Search Ranking by Incorporating User Behavior Information [ slides ],
  Eugene Agichtein, Eric Brill, and Susan T. Dumais,
  ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR), 2006
• Learning User Interaction Models for Predicting Web Search Result Preferences [ slides ],
  Eugene Agichtein, Eric Brill, Susan T. Dumais, and Robert Ragno,
  ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR), 2006
• Identifying "Best Bet" Web Search Results by Mining Past User Behavior (short paper),
  Eugene Agichtein and Zijian Zheng,
  ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006
• Confidence Estimation Methods for Partially Supervised Relation Extraction (short paper),
  Eugene Agichtein,
  SIAM Conference on Data Mining (SDM), 2006
• Predicting Accuracy of Extracting Information from Unstructured Text Collections, [ slides ]
  Eugene Agichtein and Silviu Cucerzan,
  ACM Conference on Information and Knowledge Management (CIKM), 2005 
• Learning to Find Answers to Questions on the Web,
  Eugene Agichtein, Steve Lawrence and Luis Gravano,
  ACM Transactions on Internet Technology (TOIT) Special Issue on "Machine Learning for the Internet", 2004
• Mining Reference Tables for Automatic Text Segmentation, [ slides ]
  Eugene Agichtein and Venkatesh Ganti,
  ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2004
• Querying Text Databases for Efficient Information Extraction, [ slides ]
  Eugene Agichtein and Luis Gravano,
  IEEE International Conference on Data Engineering (ICDE), Best Student Paper Award, 2003
• Combining Text Mining and Sequence Analysis to Discover Protein Functional Regions,
  Eleazar Eskin and Eugene Agichtein,
  Pacific Symposium on Biocomputing (PSB), 2004
• Extracting Synonymous Gene and Protein Terms from Biological Literature, [ slides ]
  Hong Yu and Eugene Agichtein,
  Bioinformatics, also in the Intelligent Systems for Molecular Biology Conference (ISMB), 2003
• Modeling Query-Based Access to Text Databases, [ slides ]
  Eugene Agichtein, Panagiotis Ipeirotis, and Luis Gravano,
  Sixth International Workshop on the Web and Databases (WebDB), 2003
• Snowball: Extracting Relations from Large Plain-Text Collections, [slides ]
  Eugene Agichtein and Luis Gravano,
  ACM International Conference on Digital Libraries (ACM DL), 2000
• Exploiting Diverse Knowledge Sources via Maximum Entropy in Named Entity Recognition,
  Andrew Borthwick, John Sterling, Eugene Agichtein, and Ralph Grishman,
  Sixth Workshop on Very Large Corpora, 1998
• A note on the application of the "Boltzmann simplex"-Simulated Annealing algorithm to global optimizations of argon and water clusters,
  Francis M. Torres, Eugene Agichtein, Leonid Grinberg, Goway Yu, and Robert Q. Topper,
  Journal of Molecular Structure (THEOCHEM), 1997

Refereed workshop papers, posters, and demos

• Understanding "Abandoned" Ads: Towards Personalized Commercial Intent Inference via Mouse Movement Analysis,
  Qi Guo, Eugene Agichtein, Charles Clarke and Azin Ashkan,
  SIGIR 2008 Workshop on Information Retrieval in Advertising (IRA), 2008
• Characterizing Query Intent From Ad Clickthrough Data,
  Azin Ashkan, Charles Clarke, Eugene Agichtein and Qi Guo,
  SIGIR 2008 Workshop on Information Retrieval in Advertising (IRA), 2008
• Exploring Client-Side Instrumentation for Personalized Search Intent Inference: Preliminary Experiments,
  Qi Guo and Eugene Agichtein,
  AAAI 2008 Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP 2008)
• Exploring Mouse Movements for Inferring Query Intent (poster)
  Qi Guo and Eugene Agichtein
  to appear in the ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2008
• Subjectivity Analysis for Questions in QA Communities (poster),
  Baoli Li, Yandong Liu, Ashwin Ram, Ernest V. Garcia, and Eugene Agichtein,
  to appear in the ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2008
• On the Evolution of the Yahoo! Answers QA Community (poster),
  Yandong Liu and Eugene Agichtein
  to appear in the ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2008
• A Few Bad Votes Too Many? Towards Robust Ranking in Social Media,
  Jiang Bian, Yandong Liu, Eugene Agichtein and Hongyuan Zha,
  to appear in the WWW 2008 workshop on Adversarial Information Retrieval (AIRWeb), 2008
• Semantic Annotation and Inference for Medical Knowledge Discovery,
  Saurav Sahay, Eugene Agichtein, Ernest V. Garcia, Baoli Li, and Ashwin Ram,
  NSF Symposium on Next Generation Data Mining Techniques  (NGDM), 2007
• Discovering Authorities in Question Answer Communities Using Link Analysis (short paper),
  Pawel Jurczyk and Eugene Agichtein,
  ACM Conference on Information and Knowledge Management (CIKM), 2007
• HITS on Question Answer Portals: an Exploration of Link Analysis for Author Ranking (poster),
  Pawel Jurczyk and Eugene Agichtein,
  ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2007
• Towards Privacy-Preserving Query Log Publishing (position paper),
  Li Xiong and Eugene Agichtein,
  WWW 2007 Workshop on Query Log Analysis: Social and Technological Challenges, 2007
• Analysis of Factoid Questions for Effective Relation Extraction (poster),
  Eugene Agichtein, Silviu Cucerzan, and Eric Brill,
  ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR), 2005
• Predicting Extraction Performance by Using Context Language Models,
  Eugene Agichtein and Silviu Cucerzan,
  SIGIR 2005 Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-World Applications.
• QXtract: A Building Block for Efficient Information Extraction from Plain-Text Databases (demo),
  Eugene Agichtein and Luis Gravano,
  ACM International Conference on Management of Data (SIGMOD), 2003
• Extracting Relations from XML Documents, [ slides ]
  Eugene Agichtein, C.T. Howard Ho, Vanja Josifovski, and Joerg Gerhardt,
  Springer Lecture Notes in Computer Science (LNCS), Volume 2814, "Conceptual Modeling for Novel Application Domains;
  also in the International Workshop on XML Schema and Data Management (XSDM), 2003
• Snowball: A Prototype System for Extracting Relations from Large Text Collections (demo),
  Eugene Agichtein, Luis Gravano, Jeff Pavel, Viktoriya Sokolova, Alexandr Voskoboynik,
  ACM International Conference on Management of Data (SIGMOD), 2001
• Combining Strategies for Extracting Relations from Text Collections,
  Eugene Agichtein, Eleazar Eskin and Luis Gravano,
  ACM SIGMOD Workshop on Data Mining and Knowledge Discovery (DMKD), 2000

Other publications and abstracts

• Domain Ontology Construction from Biomedical Text,
  Saurav Sahay, Baoli Li, Ernest V. Garcia, Eugene Agichtein, and Ashwin Ram,
  International Conference on Artificial Intelligence (ICAI), 2007
• Extracting Relations From Large Text Collections,
  Eugene Agichtein,
  Ph.D. Thesis, Columbia University, 2005
• Factoid Question Answering over Unstructured and Structured Content on the Web at TREC 2005,
  Silviu Cucerzan and Eugene Agichtein,
  TREC 2005 conference
• NYU: Description of the MENE Named Entity System as used in MUC-7,
  Andrew Borthwick, John Sterling, Eugene Agichtein, and Ralph Grishman,
  7th Message Understanding Conference (MUC-7) , 1997

Last updated: September 2008