FLAIRS
2011
12 years 8 months ago
2011
This study presents an evaluation of WordNet-based semantic similarity and relatedness measures in tasks focused on concept similarity. Assuming similarity as distinct from relate...
EDBT
2011
ACM
12 years 8 months ago
2011
ACM
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
BIOINFORMATICS
2011
12 years 11 months ago
2011
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
ICCBR
2009
Springer
13 years 2 months ago
2009
Springer
Abstract. Retrieval of structured cases using similarity has been studied in CBR but there has been less activity on defining similarity on description logics (DL). In this paper w...
EUSFLAT
2009
13 years 2 months ago
2009
We consider some existing similarity measures for Atanassov's intuitionistic fuzzy sets (A-IFSs, for short). We show that neither similarity measures treating an A-IF as a sim...
ACL
2009
13 years 2 months ago
2009
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
ICMLC
2010
Springer
13 years 2 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
ACL
2010
13 years 2 months ago
2010
Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
JASIS
2010
13 years 3 months ago
2010
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event de...
JMLR
2008
13 years 4 months ago
2008
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...