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» Relation Extraction Using Support Vector Machine
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130
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AAAI
2007
15 years 5 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann
132
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CEC
2007
IEEE
15 years 9 months ago
Enabling generative behavior within an interactive evolutionary design system using a component-based representation
- The paper describes further research relating to an Interactive Evolutionary Design system (IEDS) with emphasis upon extending it to support free-form design. A generative feedba...
Azahar T. Machwe, Ian C. Parmee
174
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TON
2010
167views more  TON 2010»
14 years 10 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
BMCBI
2006
158views more  BMCBI 2006»
15 years 3 months ago
Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change
Background: Non-coding RNAs (ncRNAs) have a multitude of roles in the cell, many of which remain to be discovered. However, it is difficult to detect novel ncRNAs in biochemical s...
Andrew V. Uzilov, Joshua M. Keegan, David H. Mathe...
EMNLP
2009
15 years 1 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum