27 citations · 81 across the 33 of their papers we have counts for
5 papers · 1 filter
Do Children Texts Hold The Key To Commonsense Knowledge?
Julien Romero, Simon Razniewski
Compiling comprehensive repositories of commonsense knowledge is a long-standing problem in AI. Many concerns revolve around the issue of reporting bias, i.e., that frequency in te…
Extracting Cultural Commonsense Knowledge at Scale
Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde +1
Structured knowledge is important for many AI applications. Commonsense knowledge, which is crucial for robust human-centric AI, is covered by a small number of structured knowledg…
Answering Count Questions with Structured Answers from Text
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
In this work we address the challenging case of answering count queries in web search, such as ``number of songs by John Lennon''. Prior methods merely answer these with a single,…
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Hiba Arnaout, Simon Razniewski, Gerhard Weikum +1
Commonsense knowledge about everyday concepts is an important asset for AI applications, such as question answering and chatbots. Recently, we have seen an increasing interest in t…
Answering Count Queries with Explanatory Evidence
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
A challenging case in web search and question answering are count queries, such as \textit{"number of songs by John Lennon"}. Prior methods merely answer these with a single, and s…