A Document-centered Approach to a Natural Language Music Search Engine.
Sprache des Titels:
Proceedings of the 30th European Conference on Information Retrieval (ECIR 2008), Glasgow, Scotland, UK.
We propose a new approach to a music search engine that can
be accessed via natural language queries. As with existing approaches, we
try to gather as much contextual information as possible for individual
pieces in a (possibly large) music collection by means of Web retrieval.
While existing approaches use this textual information to construct representations
of music pieces in a vector space model, in this paper, we
propose a document-centered technique to retrieve music pieces relevant
to arbitrary natural language queries. This technique improves the quality
of the resulting document rankings substantially. We report on the
current state of the research and discuss current limitations, as well as
possible directions to overcome them.