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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

Place Questions and Human-Generated Answers: A Data Analysis Approach

verfasst von : Ehsan Hamzei, Haonan Li, Maria Vasardani, Timothy Baldwin, Stephan Winter, Martin Tomko

Erschienen in: Geospatial Technologies for Local and Regional Development

Verlag: Springer International Publishing

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Abstract

This paper investigates place-related questions submitted to search systems and their human-generated answers. Place-based search is motivated by the need to identify places matching some criteria, to identify them in space or relative to other places, or to characterize the qualities of such places. Human place-related questions have thus far been insufficiently studied and differ strongly from typical keyword queries. They thus challenge today’s search engines providing only rudimentary geographic information retrieval support. We undertake an analysis of the patterns in place-based questions using a large-scale dataset of questions/answers, MS MARCO V2.1. The results of this study reveal patterns that can inform the design of conversational search systems and in-situ assistance systems, such as autonomous vehicles.

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Nächstes Kapitel Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model
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Metadaten
Titel
Place Questions and Human-Generated Answers: A Data Analysis Approach
verfasst von
Ehsan Hamzei
Haonan Li
Maria Vasardani
Timothy Baldwin
Stephan Winter
Martin Tomko
Copyright-Jahr
2020
Buch
Geospatial Technologies for Local and Regional Development

Print ISBN: 978-3-030-14744-0

Electronic ISBN: 978-3-030-14745-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-14745-7_1