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» Clustering Words with the MDL Principle
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LREC
2008
163views Education» more  LREC 2008»
13 years 7 months ago
Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora
In this paper, we reported experiments of unsupervised automatic acquisition of Italian and English verb subcategorization frames (SCFs) from general and domain corpora. The propo...
Alessandro Lenci, Barbara McGillivray, Simonetta M...
ITSL
2008
13 years 7 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
JUCS
2002
93views more  JUCS 2002»
13 years 5 months ago
On the Semiautomatic Generation of WordNet Type Synsets and Clusters
: WordNet (WN) is a lexical knowledge base, first developed for English and then adopted for several Western European languages, which was created as a machinereadable dictionary b...
Florentina Hristea
ICDAR
2003
IEEE
13 years 11 months ago
Indexing and retrieval of words in old documents
This paper describes a system for efficient indexing and retrieval of words in collections of document images. The proposed method is based on two main principles: unsupervised pr...
Simone Marinai, Emanuele Marino, Giovanni Soda
ACCV
2009
Springer
14 years 13 days ago
Natural Image Segmentation with Adaptive Texture and Boundary Encoding
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
Shankar Rao, Hossein Mobahi, Allen Y. Yang, Shanka...