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ACL
2007
15 years 5 months ago
Structured Models for Fine-to-Coarse Sentiment Analysis
In this paper we investigate a structured model for jointly classifying the sentiment of text at varying levels of granularity. Inference in the model is based on standard sequenc...
Ryan T. McDonald, Kerry Hannan, Tyler Neylon, Mike...
EMNLP
2007
15 years 5 months ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
104
Voted
FLAIRS
2003
15 years 5 months ago
Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...
Susan M. Haller, Barbara Di Eugenio
NIPS
2000
15 years 4 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
COLING
1992
15 years 4 months ago
Hierarchical Lexical Structure And Interpretive Mapping In Machine Translation
Large-scale knowledge-based machine translation requires significant amounts of lexical knowledge in order to map syntactic structures to conceptual structures. This paper present...
Teruko Mitamura, Eric Nyberg