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PRL
2008
181views more  PRL 2008»
15 years 6 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
PSYCHNOLOGY
2006
102views more  PSYCHNOLOGY 2006»
15 years 6 months ago
Radiology Informatics and Work Flow Redesign
The transformation from film-based to filmless operations has become more and more challenging as medical imaging studies expand in size and complexity. To adapt to these changes ...
Guido Vaccari, Carlo Saccavini
AAI
2002
109views more  AAI 2002»
15 years 6 months ago
Probabilistic Assessment of User's Emotions in Educational Games
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses...
Cristina Conati
COLING
2002
15 years 6 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
COLING
2002
15 years 6 months ago
Antonymy and Conceptual Vectors
For meaning representations in NLP, we focus our attention on thematic aspects and conceptual vectors. The learning strategy of conceptual vectors relies on a morphosyntaxic analy...
Didier Schwab, Mathieu Lafourcade, Violaine Prince