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» Using Classification to Generate Text
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ICPR
2006
IEEE
16 years 2 months ago
Image classification: Classifying distributions of visual features
We classify an image by generating a list of salient visual features present in the luminance channel, and matching the resulting variable-length feature list to categoryspecific ...
Prateek Sarkar
106
Voted
TCSV
2010
14 years 8 months ago
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
Chingchun Huang, Sheng-Jyh Wang
EMNLP
2008
15 years 3 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
AIL
2006
130views more  AIL 2006»
15 years 1 months ago
Extractive summarisation of legal texts
We describe research carried out as part of a text summarisation project for the legal domain for which we use a new XML corpus of judgments of the UK House of Lords. These judgmen...
Ben Hachey, Claire Grover
NGC
2006
Springer
102views Communications» more  NGC 2006»
15 years 1 months ago
Evaluation of Automatic Generation of Basic Stories
Abstract This paper presents an application that automatically generates basic stories: short texts that only narrate the main events of the plot. The system operates with a repres...
Federico Peinado, Pablo Gervás