Name
Title | ||
|---|---|---|
ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain. |
Abstract | ||
|---|---|---|
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 degree of agreement across three state-of-the-art EL systems. 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. We make available the annotated dataset along with evaluation data and the code. |
Year | Venue | Keywords |
|---|---|---|
2016 | LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Entity Linking,Music Information Retrieval,Language Resources |
Field | DocType | Citations |
Entity linking,On Language,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Gold standard | Conference | 5 |
PageRank | References | Authors |
0.39 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Oramas | 1 | 57 | 7.35 |
| Luis Espinosa Anke | 2 | 78 | 20.51 |
| Mohamed Sordo | 3 | 152 | 11.63 |
| Horacio Saggion | 4 | 1119 | 112.62 |
| Xavier Serra | 5 | 1014 | 118.93 |