Sergio Oramas
Biographic Data
| ID | 10323424 |
|---|---|
| NAME | Sergio Oramas |
| GIVEN NAMES | Sergio |
| FAMILY NAME | Oramas |
| SIGNATURE | ORAMAS S |
| AFFILIATIONS | Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Knowledge Is Out There
Musicological knowledge is spread between the lines of thousands of texts stored in hundreds of music libraries. Technology, and more recently semantic technologies, may play a key role in the way information is retrieved. In this article, an analysis of the evolution of music digital libraries from a technological perspective is presented. Then, a methodology to exploit implicit knowledge present in collections of text documents is proposed. The…
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Knowledge Is Out There
Musicological knowledge is spread between the lines of thousands of texts stored in hundreds of music libraries. Technology, and more recently semantic technologies, may play a key role in the way information is retrieved. In this article, an analysis of the evolution of music digital libraries from a technological perspective is presented. Then, a methodology to exploit implicit knowledge present in collections of text documents is proposed. The…
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Knowledge extraction (2 works) · Music and Audio Processing (2 works) · Art (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Data science (1 work) · Digital library (1 work) · Diverse Musicological Studies (1 work) · Exploit (1 work)