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» Improving Language Models by Clustering Training Sentences
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EACL
2006
ACL Anthology
13 years 9 months ago
Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
Ayman Farahat, Francine Chen
WWW
2005
ACM
14 years 8 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
ITS
2004
Springer
124views Multimedia» more  ITS 2004»
14 years 1 months ago
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...
Pamela W. Jordan, Maxim Makatchev, Kurt VanLehn
COLING
2000
13 years 9 months ago
Application of Analogical Modelling to Example Based Machine Translation
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Christos Malavazosi, Stelios Piperidis
SETN
2010
Springer
14 years 2 months ago
A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser
In the last years dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Mal...
Miguel Ballesteros, Jesús Herrera, Virginia...