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IR
2011
13 years 3 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...
JUCS
2010
108views more  JUCS 2010»
13 years 2 months ago
Extending the Methods for Computing the Importance of Entity Types in Large Conceptual Schemas
: Visualizing and understanding large conceptual schemas requires the use of specific methods. These methods generate clustered, summarized, or focused schemas that are easier to v...
Antonio Villegas, Antoni Olivé
AINA
2011
IEEE
12 years 11 months ago
Non-invasive Browser Based User Modeling Towards Semantically Enhanced Personlization of the Open Web
—Currently the user’s web search is disjoint from the resources which is subsequently browsed. Specifically the related instances of the search are not displayed on the followi...
Kevin Koidl, Owen Conlan, Lai Wei, Ann Marie Saxto...
PREMI
2011
Springer
12 years 11 months ago
Finding Potential Seeds through Rank Aggregation of Web Searches
This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Rajendra Prasath, Pinar Öztürk
CORR
2012
Springer
250views Education» more  CORR 2012»
12 years 3 months ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki