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IR
2011
13 years 2 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
WWW
2003
ACM
14 years 8 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock
IJIS
2008
83views more  IJIS 2008»
13 years 8 months ago
An algorithm for modelling key terms
The ability to analyse and represent formally semantic relations of terms is a core issue in information retrieval (IR), natural language processing (NLP), and in many related are...
D. Cai, C. J. van Rijsbergen
WWW
2005
ACM
14 years 8 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...
WWW
2009
ACM
14 years 8 months ago
Rethinking email message and people search
We show how a number of novel email search features can be implemented without any kind of natural language processing (NLP) or advanced data mining. Our approach inspects the ema...
Sebastian Michel, Ingmar Weber