The premise of the work presented in this chapter is that much of the existing work on the generation of referring expressions has focused on aspects of the problem that appear to be somewhat artificial when we look more closely at human-produced referring expressions. In particular, we believe that an overemphasis on the extent to which each property in a description performs a discriminatory ...

Karel Souček, Andrés Kamaid, Anh D. Phung, Lukáš Kubala, J. Chloë Bulinski, Richart W. Harper, and Jason P. Eiserich* Departmentof InternalMedicine,Universityof California,Davis,California Departmentof PhysiologyandMembrane Biology,Universityof California,Davis,California Cancer Center, SchoolofMedicine,Universityof California,Davis,California Departmentof Biological Sciencesand PathologyandCel...

In this paper, we use Hidden Markov Models (HMMs) for abstracting the style of a composer and for recognizing it out of an unknown excerpt. We employed a data set of 605 musical themes written by five well-known composers (Mozart, Beethoven, Dvorak, Stravinsky, Beatles). A preliminary investigation based on descriptive statistics served the purpose of choosing a group of suitable music represen...

Devenue une figure tutélaire pour la plupart des musiciens et musicographes du xixe siècle, Beethoven est l’objet d’âpres discussions entre les partisans de Neudeutsche Schule (la tendance Wagner-Liszt) le musicologue viennois Eduard Hanslick. Les premiers voient dans ses compositions légitimation leur conception d’une musique signifiante, tandis que second défend l’idée continuité classicisme ...

We propose BACH, a musical classifier that uses a Markov chain to analyze harmonic structure. Such a system may be used to sort or search for music by composer, period, or aesthetic pleasantness to a listener. It may also be employed in musical recommendation services such as Pandora or Last.fm or in systems such as Google Music or 8Notes. We first extract harmonically significant notes from a ...