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» Evaluating machine learning for information extraction
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FLAIRS
2006
14 years 11 months ago
Adaptive Learning in Machine Summarization
In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
Zhuli Xie, Barbara Di Eugenio, Peter C. Nelson
IPM
2006
171views more  IPM 2006»
14 years 9 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
JMLR
2010
95views more  JMLR 2010»
14 years 4 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
ECML
2004
Springer
15 years 1 months ago
Multi-level Boundary Classification for Information Extraction
Abstract. We investigate the application of classification techniques to the problem of information extraction (IE). In particular we use support vector machines and several differ...
Aidan Finn, Nicholas Kushmerick
ECML
2007
Springer
15 years 1 months ago
User Oriented Hierarchical Information Organization and Retrieval
Abstract. In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they refl...
Korinna Bade, Marcel Hermkes, Andreas Nürnber...