Using Embeddings for Both Entity Recognition and Linking in Tweets
The paper describes our submissions to the task on Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) at Evalita 2016. Our approach relies on a technique of Named Entity tagging that exploits both character-level and word-level embeddings. Character-based embeddings allow learning the...
Sparad:
| Huvudupphov: | , , , |
|---|---|
| Materialtyp: | Chapter |
| Språk: | Inglês |
| Utgiven: |
Accademia University Press
2016
|
| Länkar: | https://doi.org/10.4000/books.aaccademia.1946 https://hdl.handle.net/20.500.13089/1d4j https://books.openedition.org/aaccademia/1946 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|