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ExQuestions: An Expanded Factual Corpus for Question Answering over Knowledge Graphs

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2022Publisher:IEEEJournal:2022 IEEE 16th International Conference on Semantic Computing (ICSC)
Authors: Wellington Franco; Artur O. R. Franco; Caio Viktor S. Avila; Lucas Cabral 0001; Gilvan Maia; Vládia Pinheiro; Vânia M. P. Vidal; +1 Authors

doi: 10.1109/icsc52841.2022.00046 , 10.5281/zenodo.4947610 , 10.5281/zenodo.4947611 , 10.5281/zenodo.5014805

ExQuestions: An Expanded Factual Corpus for Question Answering over Knowledge Graphs

Abstract

ExQuestions dataset contains 128,578 pairs in SPARQL building from entities extracted by Wikipedia corpus. Since 104,791 generated from the expansion promoted with the help of the common sense base. The dataset has 7,350 entities generated, being 4,579 of the subject type and 2,771 of the object type. The predicates contained in the base are 83 and the number of generated templates is 25,831. The generated natural language questions reached a total of 233,369.

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Keywords

Question Answering, Knowledge Bases, Paraphrase, Common Sense Knowledge Base

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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