OPEN HOUSE on Multi-Task and Complex Outputs Learning

XML structure mapping

author: Ludovic Denoyer, University of Paris 6

Description

A key problem for automating the processing of semi-structured resources is the format heterogeneity among data sources. For dealing with heterogeneous semi-structured data, the correspondence between the different formats has to be established. The multiplicity and the rapid growth of information sources have motivated researchers to develop machine learning technologies for helping to automate those transformations.

Categories

Top: Computer Science: Machine Learning: Structured data
Top: Computer Science: Machine Learning: Structured Output

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*Slides*
0:01	XML Structure Mapping Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, Francis Maes University of Paris 6
0:21	Outline
0:53	Approach
1:54	Context : new type of data
2:35	Semi Structured Document
3:14	Different Tasks
4:20	Specifities of the data
5:23	Notations
6:31	TITLE
7:08	Outline
8:14	Structured Input : Categorization
9:00	Example
9:48	Categorization models
10:22	Categorization of parts of document
11:25	Structured Output point of view
12:15	Other example
12:32	Formalization
14:21	Results on INEX corpus
15:21	slide19
15:41	XML Structure Mapping Example
16:13	Example of mapping
17:03	XML Structure Mapping task
19:21	General XML SM task

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