ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain

@inproceedings{Oramas2016ELMDAA,
  title={ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain},
  author={Sergio Oramas and Luis Espinosa Anke and Mohamed Sordo and Horacio Saggion and Xavier Serra},
  booktitle={LREC},
  year={2016}
}
In this paper we present a gold standard dataset for Entity Linking (EL) in the Music Domain. It contains thousands of musical named entities such as Artist, Song or Record Label, which have been automatically annotated on a set of artist biographies coming from the Music website and social network LAST.FM. The annotation process relies on the analysis of the hyperlinks present in the source texts and in a voting-based algorithm for EL, which considers, for each entity mention in text, the… CONTINUE READING
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Key Quantitative Results

  • Manual evaluation shows that EL Precision is at least 94%, and due to its tunable nature, it is possible to derive annotations favouring higher Precision or Recall, at will.

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tracting Relations from Unstructured Text Sources for Music Recommendation

M. Sordo, S. Oramas, L. Espinosa-Anke
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