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  Commonsense Properties from Query Logs and Question Answering Forums

Romero, J., Razniewski, S., Pal, K., Pan, J. Z., Sakhadeo, A., & Weikum, G. (2019). Commonsense Properties from Query Logs and Question Answering Forums. Retrieved from http://arxiv.org/abs/1905.10989.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-FEEE-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-FEF0-0
Genre: Paper

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arXiv:1905.10989.pdf (Preprint), 767KB
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 Creators:
Romero, Julien1, Author
Razniewski, Simon2, Author              
Pal, Koninika2, Author              
Pan, Jeff Z.1, Author
Sakhadeo, Archit2, Author              
Weikum, Gerhard2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Free keywords: Computer Science, Computation and Language, cs.CL,Computer Science, Artificial Intelligence, cs.AI,Computer Science, Databases, cs.DB
 Abstract: Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications. However, automatic acquisition of this knowledge is challenging because of sparseness and bias in online sources. This paper presents Quasimodo, a methodology and tool suite for distilling commonsense properties from non-standard web sources. We devise novel ways of tapping into search-engine query logs and QA forums, and combining the resulting candidate assertions with statistical cues from encyclopedias, books and image tags in a corroboration step. Unlike prior work on commonsense knowledge bases, Quasimodo focuses on salient properties that are typically associated with certain objects or concepts. Extensive evaluations, including extrinsic use-case studies, show that Quasimodo provides better coverage than state-of-the-art baselines with comparable quality.

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Language(s): eng - English
 Dates: 2019-05-272019-05-312019
 Publication Status: Published online
 Pages: 10 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 1905.10989
URI: http://arxiv.org/abs/1905.10989
BibTex Citekey: Romero_arXiv1905.10989
 Degree: -

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