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ACL
2008
13 years 6 months ago
Pairwise Document Similarity in Large Collections with MapReduce
This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to de...
Tamer Elsayed, Jimmy J. Lin, Douglas W. Oard
SIGIR
2009
ACM
13 years 11 months ago
Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce
This paper explores the problem of computing pairwise similarity on document collections, focusing on the application of “more like this” queries in the life sciences domain. ...
Jimmy J. Lin
SIGIR
2011
ACM
12 years 7 months ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin
EMNLP
2009
13 years 2 months ago
Web-Scale Distributional Similarity and Entity Set Expansion
Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
Patrick Pantel, Eric Crestan, Arkady Borkovsky, An...
ITCC
2003
IEEE
13 years 10 months ago
A Method for Calculating Term Similarity on Large Document Collections
We present an efficient algorithm called the Quadtree Heuristic for identifying a list of similar terms for each unique term in a large document collection. Term similarity is de...
Wolfgang W. Bein, Jeffrey S. Coombs, Kazem Taghva