With the announcement of Sony’s new E-Ink-based Reader only days old, electronic books have been floating around the media again. Most reporters seem to agree that previous e-book readers have failed due to eye strain and rights management issues, but my personal problemwith such devices is that not only do they cost $350, I can’t use them to read the ¢25 used paperbacks that I already own. Lar...

Emotion detection was normally conducted from the viewpoint of prosody and articulation features. There is still an opening question on how to extract the emotion from the text input. To solve the problem, the paper generates an emotion estimation net (ESiN), which combines the content words and emotion functional words to estimate the final emotion output. In the paper, emotion functional word...

The presence of trivial words in text databases can impact record or concept (words/ phrases) clustering adversely. Additionally, the determination of whether a word/ phrase is trivial is context-dependent. The objective of the present paper is to demonstrate a context-dependent trivial word filter to improve clustering quality. Factor analysis was used as a context-dependent trivial word filte...

This paper examines the roles which presupposition and implicature play with respect to what is asserted by a text and to its context, as a part of the process of text understanding. This process involves constructing and updating the representation of the context. Assertion, implicature and presupposition can be described as three different ways in which changes in the representation of the co...

In the finite-alphabet context we propose four alternatives to fixed-order Markov models to estimate a conditional distribution. They consist in working with a large class of variablelength Markov models represented by context trees, and building an estimator of the conditional distribution with a risk of the same order as the risk of the best estimator for every model simultaneously, in a cond...