| Titel: |
Generating a Large-Scale Entity Linking Dictionary from Wikipedia Link Structure and Article Text |
| Personen: | Harige, Ravindra/Buitelaar, Paul |
| Jahr: |
2016 |
| Typ: |
Aufsatz |
| Verlag: |
European Language Resources Association (ELRA) |
| Ortsangabe: |
Portorož |
| In: |
Calzolari, Nicoletta/Choukri, Khalid/Declerck, Thierry/Goggi, Sara/Grobelnik, Marko/Maegaard, Bente/Mariani, Joseph/Mazo, Hélène/Moreno, Asunción/Odijk, Jan/Piperidis, Stelios (Hgg.): Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portorož, 23 - 28 May 2016 |
| Seiten: |
2431-2434 |
| Untersuchte Sprachen: |
Englisch*English |
| Schlagwörter: |
Datenmodellierung*data modelling
lexikografischer Prozess*lexicographic process
Verlinkung/Verweis*cross-references
|
| Medium: |
Online |
| URI: |
http://www.lrec-conf.org/proceedings/lrec2016/papers.html |
| Zuletzt besucht: |
19.11.2018 |
| Abstract: |
Wikipedia has been increasingly used as a knowledge base for open-domain Named Entity Linking and Disambiguation. In this task, a dictionary with entity surface forms plays an important role in finding a set of candidate entities for the mentions in text. Existing dictionaries mostly rely on the Wikipedia link structure, like anchor texts, redirect links and disambiguation links. In this paper, we introduce a dictionary for Entity Linking that includes name variations extracted from Wikipedia article text, in addition to name variations derived from the Wikipedia link structure. With this approach, we show an increase in the coverage of entities and their mentions in the dictionary in comparison to other Wikipedia based dictionaries. |