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» An Introduction to Learning Structured Information
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EMNLP
2007
14 years 11 months ago
Incremental Text Structuring with Online Hierarchical Ranking
Many emerging applications require documents to be repeatedly updated. Such documents include newsfeeds, webpages, and shared community resources such as Wikipedia. In this paper ...
Erdong Chen, Benjamin Snyder, Regina Barzilay
SOCIALCOM
2010
14 years 7 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
94
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ICIP
2010
IEEE
14 years 7 months ago
Combining free energy score spaces with information theoretic kernels: Application to scene classification
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Manuele Bicego, Alessandro Perina, Vittorio Murino...
89
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ACL
2003
14 years 11 months ago
Probabilistic Text Structuring: Experiments with Sentence Ordering
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
Mirella Lapata
AAAI
1996
14 years 11 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton