102 citations · 230 across the 11 of their papers we have counts for
6 papers · 1 filter
Klout Topics for Modeling Interests and Expertise of Users Across Social Networks
Sarah Ellinger, Prantik Bhattacharyya, Preeti Bhargava +1
This paper presents Klout Topics, a lightweight ontology to describe social media users' topics of interest and expertise. Klout Topics is designed to: be human-readable and consum…
Global Entity Ranking Across Multiple Languages
Prantik Bhattacharyya, Nemanja Spasojevic
We present work on building a global long-tailed ranking of entities across multiple languages using Wikipedia and Freebase knowledge bases. We identify multiple features and build…
High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data
Preeti Bhargava, Nemanja Spasojevic, Guoning Hu
The Entity Disambiguation and Linking (EDL) task matches entity mentions in text to a unique Knowledge Base (KB) identifier such as a Wikipedia or Freebase id. It plays a critical…
DAWT: Densely Annotated Wikipedia Texts across multiple languages
Nemanja Spasojevic, Preeti Bhargava, Guoning Hu
In this work, we open up the DAWT dataset - Densely Annotated Wikipedia Texts across multiple languages. The annotations include labeled text mentions mapping to entities (represen…
Mining Half a Billion Topical Experts Across Multiple Social Networks
Nemanja Spasojevic, Prantik Bhattacharyya, Adithya Rao
Mining topical experts on social media is a problem that has gained significant attention due to its wide-ranging applications. Here we present the first study that combines data f…
Identifying Actionable Messages on Social Media
Nemanja Spasojevic, Adithya Rao
Text actionability detection is the problem of classifying user authored natural language text, according to whether it can be acted upon by a responding agent. In this paper, we p…