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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 3 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ICCS
2001
Springer
15 years 2 months ago
Learning to Generate CGs from Domain Specific Sentences
Automatically generating Conceptual Graphs (CGs) [1] from natural language sentences is a difficult task in using CG as a semantic (knowledge) representation language for natural l...
Lei Zhang, Yong Yu
92
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FLAIRS
2008
15 years 22 days ago
Learning to Assess Low-Level Conceptual Understanding
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
Rodney D. Nielsen, Wayne Ward, James H. Martin
CICLING
2008
Springer
15 years 11 days ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
EWCBR
2008
Springer
15 years 4 days ago
iReMedI- Intelligent Retrieval from Medical Information
Abstract. Effective encoding of information is one of the keys to qualitative problem solving. Our aim is to explore Knowledge representation techniques that capture meaningful wor...
Saurav Sahay, Bharat Ravisekar, Sundaresan Venkata...