Named Entity Linking

Word Embeddings for Unsupervised Named Entity Linking

The huge amount of textual user-generated content on the Web has incredibly grown in the last decade, creating new relevant opportunities for different real-world applications and domains. In particular, microblogging platforms enables the collection …

UNIMIB@ NEEL-IT: Named Entity Recognition and Linking of Italian Tweets

This paper describes the framework proposed by the UNIMIB Team for the task of Named Entity Recognition and Linking of Italian tweets (NEEL-IT). The proposed pipeline, which represents an entry level system, is composed of three main steps: (1) Named …

TWINE: A real-time system for TWeet analysis via INformation Extraction

In the recent years, the amount of user generated contents shared on the Web has significantly increased, especially in social media environment, e.g. Twitter, Facebook, Google+. This large quantity of data has generated the need of reactive and …