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» Detecting Co-Derivative Documents in Large Text Collections
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ECAI
2010
Springer
14 years 10 months ago
Detecting Ironic Intent in Creative Comparisons
Abstract. Irony is an effective but challenging mode of communication that allows a speaker to express sentiment-rich viewpoints with concision, sharpness and humour. Irony is espe...
Tony Veale, Yanfen Hao
83
Voted
COMPSAC
2010
IEEE
14 years 7 months ago
Using Load Tests to Automatically Compare the Subsystems of a Large Enterprise System
Enterprise systems are load tested for every added feature, software updates and periodic maintenance to ensure that the performance demands on system quality, availability and res...
Haroon Malik, Bram Adams, Ahmed E. Hassan, Parmind...
ICCS
2001
Springer
15 years 2 months ago
Large-Scale Cooperatively-Built KBs
We describe a knowledge server that permits Web users to retrieve and add knowledge in a shared knowledge base. The following features distinguish WebKB-2 from other ontology serve...
Philippe Martin, Peter W. Eklund
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
147
Voted
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
15 years 9 months ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum