Байес желісі

We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument struc- ture. This is achieved through the application …...

We present results on addressee identifica- tion in four-participants face-to-face meet- ings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act …...

We propose an architecture for expressing various linguistically-motivated features that help identify multi-word expressions in nat- ural language texts. The architecture com- bines various linguistically-motivated clas- sification features in a …...

Our purpose is to use Twitter data to infer per- sonal values in marketing for Japanese con- sumers. In this paper, we reintroduce our per- sonal value system and apply …...