6 resultados para Geographical information retrieval
Resumo:
210 p. : graf.
Resumo:
[ES] Se estudian las características comunes y específicas de los gestores personales de bases de datos de referencias bibliográficas más utilizados: Reference Manager, EndNote, ProCite, RefWorks y EndNote Web. Los Apartados analizados son: la entrada de datos, el control de autoridades, los comandos de edición global, la personalización de algunos aspectos de las bases de datos, la exportación de las referencias, la visualización de los Registros, la inserción de citas bibliográficas y la generación automática de bibliografías.
Resumo:
This paper explores how audio chord estimation could improve if information about chord boundaries or beat onsets is revealed by an oracle. Chord estimation at the frame level is compared with three simulations, each using an oracle of increasing powers. The beat and chord segments revealed by an oracle are used to compute a chord ranking at the segment level, and to compute the cumulative probability of finding the correct chord among the top ranked chords. Oracle results on two different audio datasets demonstrate the substantial potential of segment versus frame approaches for chord audio estimation. This paper also provides a comparison of the oracle results on the Beatles dataset, the standard dataset in this area, with the new Billboard Hot 100 chord dataset.
Resumo:
This paper proposes a new method for local key and chord estimation from audio signals. This method relies primarily on principles from music theory, and does not require any training on a corpus of labelled audio files. A harmonic content of the musical piece is first extracted by computing a set of chroma vectors. A set of chord/key pairs is selected for every frame by correlation with fixed chord and key templates. An acyclic harmonic graph is constructed with these pairs as vertices, using a musical distance to weigh its edges. Finally, the sequences of chords and keys are obtained by finding the best path in the graph using dynamic programming. The proposed method allows a mutual chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks, as well as a larger corpus composed of songs taken from the Billboard dataset.
Resumo:
[EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraphs or even documents) is a very important research area in Natural Language Processing (NLP). In fact, it has many practical applications in other NLP tasks. For instance, Word Sense Disambiguation, Textual Entailment, Paraphrase detection, Machine Translation, Summarization and other related tasks such as Information Retrieval or Question Answering. In this masther thesis we study di erent approaches to compute the semantic similarity between textual items. In the framework of the european PATHS project1, we also evaluate a knowledge-base method on a dataset of cultural item descriptions. Additionaly, we describe the work carried out for the Semantic Textual Similarity (STS) shared task of SemEval-2012. This work has involved supporting the creation of datasets for similarity tasks, as well as the organization of the task itself.
Resumo:
Este artículo forma parte de la investigación realizada en el marco de la tesis de licenciatura de su autora: "La red viaria romana en el norte de Burgos. Valles de Mena, Losa y Sotoscueva. Vía Pisoraca- Flauiobriga. Via Flauiobriga-Iuliobriga. Vías secundarias", leída en el Departamento de Estudios Clásicos de la Facultad de Filología, Geografía e Historia de la UPV/EHU el 9 de octubre de 1996.
