Kamal Nigam

Publication Activity (10 Years)

Years Active: 1998-2009
Publications (10 Years): 0

Publications

Yuk Wah Wong, Dominic Widdows, Tom Lokovic, Kamal Nigam
Scalable Attribute-Value Extraction from Semi-structured Text. ICDM Workshops (2009)
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo
Analyzing online discussion for marketing intelligence. WWW (Special interest tracks and posters) (2005)
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo
Deriving marketing intelligence from online discussion. KDD (2005)
Matthew F. Hurst, Kamal Nigam
Retrieving topical sentiments from online document collections. DRR (2004)
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell
Text Classification from Labeled and Unlabeled Documents using EM. Mach. Learn. 39 (2/3) (2000)
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118 (1-2) (2000)
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore
Automating the Construction of Internet Portals with Machine Learning. Inf. Retr. 3 (2) (2000)
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
Efficient clustering of high-dimensional data sets with application to reference matching. KDD (2000)
Kamal Nigam, Rayid Ghani
Analyzing the Effectiveness and Applicability of Co-training. CIKM (2000)
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore
A Machine Learning Approach to Building Domain-Specific Search Engines. IJCAI (1999)
Andrew McCallum, Kamal Nigam
Employing EM and Pool-Based Active Learning for Text Classification. ICML (1998)
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery
Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI (1998)
Mark Craven, Seán Slattery, Kamal Nigam
First-Order Learning for Web Mining. ECML (1998)
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell
Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI (1998)