2026-07-25T03:05:00Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:11104 2024-03-06T10:47:22Z ddc:004 open_access

Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper) Hamzei, Ehsan Winter, Stephan Tomko, Martin question answering scale prominence where-questions Geographic questions are among the most frequently asked questions in Web search and question answering systems. While currently responses to the questions are machine-generated by document/snippet retrieval, in the future these responses will need to become more similar to answers provided by humans. Here, we have analyzed human answering behavior as response to simple where questions (i.e., where questions formulated only with one toponym) in terms of type, scale, and prominence of the places referred to. We have used the largest available machine comprehension dataset, MS-MARCO v2.1. This study uses an automatic approach for extraction, encoding and analysis of the questions and answers. Here, the distribution analysis are used to describe the relation between questions and their answers. The results of this study can inform the design of automatic question answering systems for generating useful responses to where questions. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Ehsan Hamzei and Stephan Winter and Martin Tomko 2019 Is Part Of LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.COSIT.2019.12 urn:nbn:de:0030-drops-111049 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.12 eng https://creativecommons.org/licenses/by/3.0/legalcode