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20032024
most citedPeople on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities

106 citations · 448 across the 36 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.DB2017

Spec-QP: Speculative Query Planning for Joins over Knowledge Graphs

Madhulika Mohanty, Maya Ramanath, Mohamed Yahya +1

Organisations store huge amounts of data from multiple heterogeneous sources in the form of Knowledge Graphs (KGs). One of the ways to query these KGs is to use SPARQL queries over…

cs.CL2017★ 2 cited

KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition

Dominic Seyler, Tatiana Dembelova, Luciano Del Corro +2

KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge. A novel modular framework divides the knowledge into four ca…

cs.CL2017★ 4 cited

Cardinal Virtues: Extracting Relation Cardinalities from Text

Paramita Mirza, Simon Razniewski, Fariz Darari +1

Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award. However, some facts are never fully mentioned,…

cs.AI2017★ 106 cited

People on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities

Subhabrata Mukherjee, Gerhard Weikum

Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible info…

cs.AI2017

Credible Review Detection with Limited Information using Consistency Analysis

Subhabrata Mukherjee, Sourav Dutta, Gerhard Weikum

Online reviews provide viewpoints on the strengths and shortcomings of products/services, influencing potential customers' purchasing decisions. However, the proliferation of non-c…

cs.AI2017

People on Drugs: Credibility of User Statements in Health Communities

Subhabrata Mukherjee, Gerhard Weikum, Cristian Danescu-Niculescu-Mizil

Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformat…