2009 |
40 | EE | Azin Ashkan,
Charles L. A. Clarke,
Eugene Agichtein,
Qi Guo:
Classifying and Characterizing Query Intent.
ECIR 2009: 578-586 |
39 | EE | Jiang Bian,
Yandong Liu,
Ding Zhou,
Eugene Agichtein,
Hongyuan Zha:
Learning to recognize reliable users and content in social media with coupled mutual reinforcement.
WWW 2009: 51-60 |
38 | EE | Eugene Agichtein,
Yandong Liu,
Jiang Bian:
Modeling information-seeker satisfaction in community question answering.
TKDD 3(2): (2009) |
2008 |
37 | | Ian Soboroff,
Eugene Agichtein,
Ravi Kumar:
Proceeding of the 2008 ACM Workshop on Search in Social Media, SSM 2008, Napa Valley, California, USA, October 30, 2008
ACM 2008 |
36 | EE | Jiang Bian,
Yandong Liu,
Eugene Agichtein,
Hongyuan Zha:
A few bad votes too many?: towards robust ranking in social media.
AIRWeb 2008: 53-60 |
35 | EE | Baoli Li,
Yandong Liu,
Eugene Agichtein:
CoCQA: Co-Training over Questions and Answers with an Application to Predicting Question Subjectivity Orientation.
EMNLP 2008: 937-946 |
34 | EE | Yandong Liu,
Jiang Bian,
Eugene Agichtein:
Predicting information seeker satisfaction in community question answering.
SIGIR 2008: 483-490 |
33 | EE | Qi Guo,
Eugene Agichtein:
Exploring mouse movements for inferring query intent.
SIGIR 2008: 707-708 |
32 | EE | Baoli Li,
Yandong Liu,
Ashwin Ram,
Ernest V. Garcia,
Eugene Agichtein:
Exploring question subjectivity prediction in community QA.
SIGIR 2008: 735-736 |
31 | EE | Yandong Liu,
Eugene Agichtein:
On the evolution of the yahoo! answers QA community.
SIGIR 2008: 737-738 |
30 | EE | Eugene Agichtein,
Carlos Castillo,
Debora Donato,
Aristides Gionis,
Gilad Mishne:
Finding high-quality content in social media.
WSDM 2008: 183-194 |
29 | EE | Jiang Bian,
Yandong Liu,
Eugene Agichtein,
Hongyuan Zha:
Finding the right facts in the crowd: factoid question answering over social media.
WWW 2008: 467-476 |
28 | EE | Saurav Sahay,
Sougata Mukherjea,
Eugene Agichtein,
Ernest V. Garcia,
Shamkant B. Navathe,
Ashwin Ram:
Discovering semantic biomedical relations utilizing the Web.
TKDD 2(1): (2008) |
2007 |
27 | EE | Pawel Jurczyk,
Eugene Agichtein:
Discovering authorities in question answer communities by using link analysis.
CIKM 2007: 919-922 |
26 | | Saurav Sahay,
Baoli Li,
Ernest V. Garcia,
Eugene Agichtein,
Ashwin Ram:
Domain Ontology Construction from Biomedical Text.
IC-AI 2007: 28-34 |
25 | EE | Charles L. A. Clarke,
Eugene Agichtein,
Susan T. Dumais,
Ryen W. White:
The influence of caption features on clickthrough patterns in web search.
SIGIR 2007: 135-142 |
24 | EE | Pawel Jurczyk,
Eugene Agichtein:
Hits on question answer portals: exploration of link analysis for author ranking.
SIGIR 2007: 845-846 |
23 | EE | Eugene Agichtein,
Chris Burges,
Eric Brill:
Question Answering over Implicitly Structured Web Content.
Web Intelligence 2007: 18-25 |
22 | EE | Panagiotis G. Ipeirotis,
Eugene Agichtein,
Pranay Jain,
Luis Gravano:
Towards a query optimizer for text-centric tasks.
ACM Trans. Database Syst. 32(4): (2007) |
2006 |
21 | EE | Eugene Agichtein,
Zijian Zheng:
Identifying "best bet" web search results by mining past user behavior.
KDD 2006: 902-908 |
20 | EE | Eugene Agichtein:
Confidence Estimation Methods for Partially Supervised Information Extraction.
SDM 2006 |
19 | EE | Eugene Agichtein,
Eric Brill,
Susan T. Dumais:
Improving web search ranking by incorporating user behavior information.
SIGIR 2006: 19-26 |
18 | EE | Eugene Agichtein,
Eric Brill,
Susan T. Dumais,
Robert Ragno:
Learning user interaction models for predicting web search result preferences.
SIGIR 2006: 3-10 |
17 | EE | Panagiotis G. Ipeirotis,
Eugene Agichtein,
Pranay Jain,
Luis Gravano:
To search or to crawl?: towards a query optimizer for text-centric tasks.
SIGMOD Conference 2006: 265-276 |
16 | EE | Eugene Agichtein:
Web Information Extraction and User Modeling: Towards Closing the Gap.
IEEE Data Eng. Bull. 29(4): 37-44 (2006) |
2005 |
15 | EE | Eugene Agichtein,
Silviu Cucerzan:
Predicting accuracy of extracting information from unstructured text collections.
CIKM 2005: 413-420 |
14 | EE | Eugene Agichtein,
Silviu Cucerzan,
Eric Brill:
Analysis of factoid questions for effective relation extraction.
SIGIR 2005: 567-568 |
13 | EE | Eugene Agichtein:
Scaling Information Extraction to Large Document Collections.
IEEE Data Eng. Bull. 28(4): 3-10 (2005) |
2004 |
12 | EE | Eugene Agichtein,
Venkatesh Ganti:
Mining reference tables for automatic text segmentation.
KDD 2004: 20-29 |
11 | EE | Eleazar Eskin,
Eugene Agichtein:
Combining Text Mining and Sequence Analysis to Discover Protein Functional Regions.
Pacific Symposium on Biocomputing 2004: 288-299 |
10 | EE | Eugene Agichtein,
Steve Lawrence,
Luis Gravano:
Learning to find answers to questions on the Web.
ACM Trans. Internet Techn. 4(2): 129-162 (2004) |
2003 |
9 | EE | Eugene Agichtein,
C. T. Howard Ho,
Vanja Josifovski,
Joerg Gerhardt:
Extracting Relations from XML Documents.
ER (Workshops) 2003: 390-401 |
8 | EE | Eugene Agichtein,
Luis Gravano:
Querying Text Databases for Efficient Information Extraction.
ICDE 2003: 113-124 |
7 | EE | Hong Yu,
Eugene Agichtein:
Extracting synonymous gene and protein terms from biological literature.
ISMB (Supplement of Bioinformatics) 2003: 340-349 |
6 | EE | Eugene Agichtein,
Luis Gravano:
QXtract: A Building Block for Efficient Information Extraction from Plain-Text Databases.
SIGMOD Conference 2003: 663 |
5 | EE | Eugene Agichtein,
Panagiotis G. Ipeirotis,
Luis Gravano:
Modeling Query-Based Access to Text Databases.
WebDB 2003: 87-92 |
2001 |
4 | EE | Eugene Agichtein,
Luis Gravano,
Jeff Pavel,
Viktoriya Sokolova,
Aleksandr Voskoboynik:
Snowball: A Prototype System for Extracting Relations from Large Text Collections.
SIGMOD Conference 2001: 612 |
3 | EE | Eugene Agichtein,
Steve Lawrence,
Luis Gravano:
Learning search engine specific query transformations for question answering.
WWW 2001: 169-178 |
2000 |
2 | EE | Eugene Agichtein,
Luis Gravano:
Snowball: extracting relations from large plain-text collections.
ACM DL 2000: 85-94 |
1 | | Eugene Agichtein,
Eleazar Eskin,
Luis Gravano:
Combining Strategies for Extracting Relations from Text Collections.
ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 86-95 |