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AMINING
2003
Springer
261views Data Mining» more  AMINING 2003»
15 years 11 months ago
Micro View and Macro View Approaches to Discovered Rule Filtering
A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and may contain unreasonable facts...
Yasuhiko Kitamura, Akira Iida, Keunsik Park
ACL
2007
15 years 8 months ago
Sparse Information Extraction: Unsupervised Language Models to the Rescue
Even in a massive corpus such as the Web, a substantial fraction of extractions appear infrequently. This paper shows how to assess the correctness of sparse extractions by utiliz...
Doug Downey, Stefan Schoenmackers, Oren Etzioni
SIGIR
2004
ACM
15 years 12 months ago
Forming test collections with no system pooling
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become the standard process for creating resources such as the TREC, CLEF, and...
Mark Sanderson, Hideo Joho
JCDL
2010
ACM
259views Education» more  JCDL 2010»
15 years 11 months ago
Exploiting time-based synonyms in searching document archives
Query expansion of named entities can be employed in order to increase the retrieval effectiveness. A peculiarity of named entities compared to other vocabulary terms is that they...
Nattiya Kanhabua, Kjetil Nørvåg
ECIR
2003
Springer
15 years 7 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr