header

Negative Statements Considered Useful

22 Pages Posted: 19 Oct 2021 Publication Status: Accepted

See all articles by Hiba Arnaout

Hiba Arnaout

Max Planck Institute for Informatics

Simon Razniewski

Max Planck Institute for Informatics

Gerhard Weikum

Max Planck Institute for Informatics

Jeff Z. Pan

University of Edinburgh - School of Informatics

Abstract

Knowledge bases (KBs) about notable entities and their properties are an important asset in applications such as search, question answering and dialogue. All popular KBs capture virtually only positive statements, and abstain from taking any stance on statements not stored in the KB. This paper makes the case for explicitly stating salient statements that do not hold. Negative statements are useful to overcome limitations of question answering systems that are mainly geared for positive questions; they can also contribute to informative summaries of entities. Due to the abundance of such invalid statements, any effort to compile them needs to address ranking by saliency. We present a statistical inference method for compiling and ranking negative statements, based on expectations from positive statements of related entities in peer groups. Experimental results, with a variety of datasets, show that the method can effectively discover notable negative statements, and extrinsic studies underline their usefulness for entity summarization. Datasets and code are released as resources for further research.

Suggested Citation

Arnaout, Hiba and Razniewski, Simon and Weikum, Gerhard and Pan, Jeff Z., Negative Statements Considered Useful. Journal of Web Semantics First Look , Available at SSRN: https://ssrn.com/abstract=3945444 or http://dx.doi.org/10.2139/ssrn.3945444

Hiba Arnaout (Contact Author)

Max Planck Institute for Informatics ( email )

Germany

Simon Razniewski

Max Planck Institute for Informatics ( email )

Germany

Gerhard Weikum

Max Planck Institute for Informatics ( email )

Germany

Jeff Z. Pan

University of Edinburgh - School of Informatics ( email )

Old College
South Bridge
Edinburgh, Scotland EH8 9JY
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
43
Downloads
7
PlumX Metrics