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Eugene Agichtein: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Eugene Agichtein, Silviu Cucerzan
    Predicting accuracy of extracting information from unstructured text collections. [Citation Graph (0, 0)][DBLP]
    CIKM, 2005, pp:413-420 [Conf]
  2. Eugene Agichtein, Luis Gravano
    Snowball: extracting relations from large plain-text collections. [Citation Graph (0, 0)][DBLP]
    ACM DL, 2000, pp:85-94 [Conf]
  3. Eugene Agichtein, Eleazar Eskin, Luis Gravano
    Combining Strategies for Extracting Relations from Text Collections. [Citation Graph (0, 0)][DBLP]
    ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000, pp:86-95 [Conf]
  4. Eugene Agichtein, C. T. Howard Ho, Vanja Josifovski, Joerg Gerhardt
    Extracting Relations from XML Documents. [Citation Graph (0, 0)][DBLP]
    ER (Workshops), 2003, pp:390-401 [Conf]
  5. Eugene Agichtein, Luis Gravano
    Querying Text Databases for Efficient Information Extraction. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:113-124 [Conf]
  6. Hong Yu, Eugene Agichtein
    Extracting synonymous gene and protein terms from biological literature. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2003, pp:340-349 [Conf]
  7. Eugene Agichtein, Venkatesh Ganti
    Mining reference tables for automatic text segmentation. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:20-29 [Conf]
  8. Eugene Agichtein, Zijian Zheng
    Identifying "best bet" web search results by mining past user behavior. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:902-908 [Conf]
  9. Eleazar Eskin, Eugene Agichtein
    Combining Text Mining and Sequence Analysis to Discover Protein Functional Regions. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:288-299 [Conf]
  10. Eugene Agichtein
    Confidence Estimation Methods for Partially Supervised Information Extraction. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  11. Eugene Agichtein, Eric Brill, Susan T. Dumais
    Improving web search ranking by incorporating user behavior information. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:19-26 [Conf]
  12. Eugene Agichtein, Eric Brill, Susan T. Dumais, Robert Ragno
    Learning user interaction models for predicting web search result preferences. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2006, pp:3-10 [Conf]
  13. Eugene Agichtein, Silviu Cucerzan, Eric Brill
    Analysis of factoid questions for effective relation extraction. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2005, pp:567-568 [Conf]
  14. Eugene Agichtein, Luis Gravano
    QXtract: A Building Block for Efficient Information Extraction from Plain-Text Databases. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2003, pp:663- [Conf]
  15. Eugene Agichtein, Luis Gravano, Jeff Pavel, Viktoriya Sokolova, Aleksandr Voskoboynik
    Snowball: A Prototype System for Extracting Relations from Large Text Collections. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2001, pp:612- [Conf]
  16. Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay Jain, Luis Gravano
    To search or to crawl?: towards a query optimizer for text-centric tasks. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2006, pp:265-276 [Conf]
  17. Eugene Agichtein, Panagiotis G. Ipeirotis, Luis Gravano
    Modeling Query-Based Access to Text Databases. [Citation Graph (0, 0)][DBLP]
    WebDB, 2003, pp:87-92 [Conf]
  18. Eugene Agichtein, Steve Lawrence, Luis Gravano
    Learning search engine specific query transformations for question answering. [Citation Graph (0, 0)][DBLP]
    WWW, 2001, pp:169-178 [Conf]
  19. Eugene Agichtein
    Scaling Information Extraction to Large Document Collections. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2005, v:28, n:4, pp:3-10 [Journal]
  20. Eugene Agichtein
    Web Information Extraction and User Modeling: Towards Closing the Gap. [Citation Graph (0, 0)][DBLP]
    IEEE Data Eng. Bull., 2006, v:29, n:4, pp:37-44 [Journal]
  21. Eugene Agichtein, Steve Lawrence, Luis Gravano
    Learning to find answers to questions on the Web. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Internet Techn., 2004, v:4, n:2, pp:129-162 [Journal]
  22. Pawel Jurczyk, Eugene Agichtein
    Hits on question answer portals: exploration of link analysis for author ranking. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:845-846 [Conf]
  23. Charles L. A. Clarke, Eugene Agichtein, Susan T. Dumais, Ryen W. White
    The influence of caption features on clickthrough patterns in web search. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2007, pp:135-142 [Conf]

  24. You've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering. [Citation Graph (, )][DBLP]


  25. Towards predicting web searcher gaze position from mouse movements. [Citation Graph (, )][DBLP]


  26. Discovering authorities in question answer communities by using link analysis. [Citation Graph (, )][DBLP]


  27. Classifying and Characterizing Query Intent. [Citation Graph (, )][DBLP]


  28. Domain Ontology Construction from Biomedical Text. [Citation Graph (, )][DBLP]


  29. EMU: the emory user behavior data management system for automatic library search evaluation. [Citation Graph (, )][DBLP]


  30. Exploring mouse movements for inferring query intent. [Citation Graph (, )][DBLP]


  31. Predicting information seeker satisfaction in community question answering. [Citation Graph (, )][DBLP]


  32. Exploring question subjectivity prediction in community QA. [Citation Graph (, )][DBLP]


  33. On the evolution of the yahoo! answers QA community. [Citation Graph (, )][DBLP]


  34. Is this urgent?: exploring time-sensitive information needs in collaborative question answering. [Citation Graph (, )][DBLP]


  35. Beyond session segmentation: predicting changes in search intent with client-side user interactions. [Citation Graph (, )][DBLP]


  36. Ready to buy or just browsing?: detecting web searcher goals from interaction data. [Citation Graph (, )][DBLP]


  37. Factoid Question Answering over Unstructured and Structured Web Content. [Citation Graph (, )][DBLP]


  38. Question Answering over Implicitly Structured Web Content. [Citation Graph (, )][DBLP]


  39. Estimating Ad Clickthrough Rate through Query Intent Analysis. [Citation Graph (, )][DBLP]


  40. In the Mood to Click? Towards Inferring Receptiveness to Search Advertising. [Citation Graph (, )][DBLP]


  41. Finding the right facts in the crowd: factoid question answering over social media. [Citation Graph (, )][DBLP]


  42. Learning to recognize reliable users and content in social media with coupled mutual reinforcement. [Citation Graph (, )][DBLP]


  43. Exploring searcher interactions for distinguishing types of commercial intent. [Citation Graph (, )][DBLP]


  44. Unsupervised query segmentation using click data: preliminary results. [Citation Graph (, )][DBLP]


  45. A few bad votes too many?: towards robust ranking in social media. [Citation Graph (, )][DBLP]


  46. Finding high-quality content in social media. [Citation Graph (, )][DBLP]


  47. CoCQA: Co-Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation. [Citation Graph (, )][DBLP]


  48. Deconstructing Interaction Dynamics in Knowledge Sharing Communities. [Citation Graph (, )][DBLP]


  49. The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content. [Citation Graph (, )][DBLP]


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