In this paper we present an automatic multilingual annotation of theWikipedia dumps in two languages, with both word senses (i.e. concepts) and named entities. We use Babelfy 1.0, a state-of-the-art multilingual Word Sense Disambiguation and Entity Linking system. As its reference inventory, Babelfy draws upon BabelNet 3.0, a very large multilingual encyclopedic dictionary and semantic network which connects concepts and named entities in 271 languages from different inventories, such as WordNet, Open Multilingual WordNet, Wikipedia, OmegaWiki, Wiktionary and Wikidata. In addition, we perform both an automatic evaluation of the dataset and a language-specific statistical analysis. In detail, we investigate the word sense distributions by part-of-speech and language, together with the similarity of the annotated entities and concepts for a random sample of interlinked Wikipedia pages in different languages. The annotated corpora are available at http://lcl.uniroma1.it/babelfied-wikipedia/.

Scozzafava, F., Raganato, A., Moro, A., Navigli, R. (2015). Automatic identification and disambiguation of concepts and named entities in the multilingual wikipedia. In AI*IA 2015 Advances in Artificial Intelligence (pp.357-366). Springer Verlag [10.1007/978-3-319-24309-2_27].

Automatic identification and disambiguation of concepts and named entities in the multilingual wikipedia

Raganato A
;
2015

Abstract

In this paper we present an automatic multilingual annotation of theWikipedia dumps in two languages, with both word senses (i.e. concepts) and named entities. We use Babelfy 1.0, a state-of-the-art multilingual Word Sense Disambiguation and Entity Linking system. As its reference inventory, Babelfy draws upon BabelNet 3.0, a very large multilingual encyclopedic dictionary and semantic network which connects concepts and named entities in 271 languages from different inventories, such as WordNet, Open Multilingual WordNet, Wikipedia, OmegaWiki, Wiktionary and Wikidata. In addition, we perform both an automatic evaluation of the dataset and a language-specific statistical analysis. In detail, we investigate the word sense distributions by part-of-speech and language, together with the similarity of the annotated entities and concepts for a random sample of interlinked Wikipedia pages in different languages. The annotated corpora are available at http://lcl.uniroma1.it/babelfied-wikipedia/.
No
paper
Corpus annotation; Disambiguation; Entity linking; Multilinguality; Named entities; Semantic annotation; Sense annotation; Word sense disambiguation; Word senses;
English
14th International Conference of the Italian Association for Artificial Intelligence (AIXIA) 23 September 2015 through 25 September 2015
978-3-319-24308-5
Scozzafava, F., Raganato, A., Moro, A., Navigli, R. (2015). Automatic identification and disambiguation of concepts and named entities in the multilingual wikipedia. In AI*IA 2015 Advances in Artificial Intelligence (pp.357-366). Springer Verlag [10.1007/978-3-319-24309-2_27].
Scozzafava, F; Raganato, A; Moro, A; Navigli, R
File in questo prodotto:
File Dimensione Formato  
Scozzafava_Automatic_2015.pdf

Solo gestori archivio

Dimensione 479.77 kB
Formato Adobe PDF
479.77 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/361543
Citazioni
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 4
Social impact