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NAACL
2001
15 years 18 days ago
Unsupervised Learning of Name Structure From Coreference Data
We present two methods for learning the structure of personal names from unlabeled data. The first simply uses a few implicit constraints governing this structure to gain a toehol...
Eugene Charniak
IJCAI
2007
15 years 20 days ago
Metric Properties of Structured Data Visualizations through Generative Probabilistic Modeling
Recently, generative probabilistic modeling principles were extended to visualization of structured data types, such as sequences. The models are formulated as constrained mixture...
Peter Tino, Nikolaos Gianniotis
ICDE
2002
IEEE
206views Database» more  ICDE 2002»
16 years 18 days ago
Exploiting Local Similarity for Indexing Paths in Graph-Structured Data
XML and other semi-structured data may have partially specified or missing schema information, motivating the use of a structural summary which can be automatically computed from ...
Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, E...
ACSC
2006
IEEE
15 years 5 months ago
Programming with heterogeneous structures: manipulating XML data using bondi
Manipulating semistructured data, such as XML, does not t well within conventional programming languages. A typical manipulation requires nding all occurrences of a structure matc...
F. Y. Huang, C. B. Jay, David B. Skillicorn
CSB
2005
IEEE
136views Bioinformatics» more  CSB 2005»
15 years 4 months ago
An Algebraic Geometry Approach to Protein Structure Determination from NMR Data
Our paper describes the first provably-efficient algorithm for determining protein structures de novo, solely from experimental data. We show how the global nature of a certain ...
Lincong Wang, Ramgopal R. Mettu, Bruce Randall Don...