Tweet Contextualization based on Wikipedia and Dbpedia
Authors | Meriem Amina Zingla Chiraz Latiri Yahya Slimani Catherine Berrut Philippe Mulhem |
|---|---|
Publication date | 2016 |
Links | Original |
Tweet Contextualization based on Wikipedia and Dbpedia - scientific work related to Wikipedia quality published in 2016, written by Meriem Amina Zingla, Chiraz Latiri, Yahya Slimani, Catherine Berrut and Philippe Mulhem.
Overview
Bound to 140 characters, tweets are short and not written maintaining formal grammar and proper spelling. These spelling variations increase the likelihood of vocabulary mismatch and make them difficult to understand without context. This paper falls under the tweet contextualization task that aims at providing, automatically, a summary that explains a given tweet, allowing a reader to understand it. Authors propose different tweet expansion approaches based on Wikipeda and Dbpedia as external knowledge sources. These proposed approaches are divided into two steps. The first step consists in generating the candidate terms for a given tweet, while the second one consists in ranking and selecting these candidate terms using a
