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ECML
2000
Springer
15 years 9 months ago
Metric-Based Inductive Learning Using Semantic Height Functions
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
Zdravko Markov, Ivo Marinchev
ATAL
2006
Springer
15 years 8 months ago
An adaptive plan-based dialogue agent: integrating learning into a BDI architecture
We consider the problem of dialogue adaptation in our Smart Personal Assistant (SPA), which uses a plan-based dialogue model. We present a novel way of integrating learning into a...
Anh Nguyen, Wayne Wobcke
118
Voted
EMNLP
2008
15 years 6 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
135
Voted
NAACL
2007
15 years 6 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
104
Voted
CRIWG
2004
15 years 6 months ago
A Model for a Collaborative Recommender System for Multimedia Learning Material
In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardw...
Nelson A. Baloian, Patricio Galdames, César...