activity
20032022
most citedPeople on Media: Jointly Identifying Credible News and Trustworthy Citizen Journalists in Online Communities

106 citations · 441 across the 23 of their papers we have counts for

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13 papers · 1 filter

cs.CL202116 cited

Language Models As or For Knowledge Bases

Simon Razniewski, Andrew Yates, Nora Kassner +1

Pre-trained language models (LMs) have recently gained attention for their potential as an alternative to (or proxy for) explicit knowledge bases (KBs). In this position paper, we…

cs.CL20204 cited

Cross-Domain Learning for Classifying Propaganda in Online Contents

Liqiang Wang, Xiaoyu Shen, Gerard de Melo +1

As news and social media exhibit an increasing amount of manipulative polarized content, detecting such propaganda has received attention as a new task for content analysis. Prior…

cs.CL2020

Joint Reasoning for Multi-Faceted Commonsense Knowledge

Yohan Chalier, Simon Razniewski, Gerhard Weikum

Commonsense knowledge (CSK) supports a variety of AI applications, from visual understanding to chatbots. Prior works on acquiring CSK, such as ConceptNet, have compiled statements…

cs.CL2019

STANCY: Stance Classification Based on Consistency Cues

Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1

Controversial claims are abundant in online media and discussion forums. A better understanding of such claims requires analyzing them from different perspectives. Stance classific…

cs.CL2019

Story-oriented Image Selection and Placement

Sreyasi Nag Chowdhury, Simon Razniewski, Gerhard Weikum

Multimodal contents have become commonplace on the Internet today, manifested as news articles, social media posts, and personal or business blog posts. Among the various kinds of…

cs.CL2019

Commonsense Properties from Query Logs and Question Answering Forums

Julien Romero, Simon Razniewski, Koninika Pal +3

Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications. However, automatic acquisition of this knowledge is challe…