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» Measuring Distributional Similarity in Context
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IPPS
2005
IEEE
14 years 1 months ago
A Compiler-Enabled Model- and Measurement-Driven Adaptation Environment for Dependability and Performance
Traditional techniques for building dependable, highperformance distributed systems are too expensive for most non-critical systems, often causing dependability to be sidelined as...
Vikram S. Adve, Adnan Agbaria, Matti A. Hiltunen, ...
COLING
2008
13 years 9 months ago
Semantic Classification with Distributional Kernels
Distributional measures of lexical similarity and kernel methods for classification are well-known tools in Natural Language Processing. We bring these two methods together by int...
Diarmuid Ó Séaghdha, Ann Copestake
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 11 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
BTW
2005
Springer
118views Database» more  BTW 2005»
14 years 1 months ago
The MINERVA Project: Database Selection in the Context of P2P Search
: This paper presents the MINERVA project that protoypes a distributed search engine based on P2P techniques. MINERVA is layered on top of a Chord-style overlay network and uses a ...
Matthias Bender, Sebastian Michel, Gerhard Weikum,...
ACL
2007
13 years 9 months ago
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
The increasing complexity of summarization systems makes it difficult to analyze exactly which modules make a difference in performance. We carried out a principled comparison be...
Surabhi Gupta, Ani Nenkova, Daniel Jurafsky