2 Search Results for "Hamzei, Ehsan"

Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.24
An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper)

Authors: Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
People can be localized at a particular location in an indoor environment using verbal descriptions referring to distinct visible objects (e.g., landmarks). When a user provides an incomplete initial location description their location may remain ambiguous. Here, we consider a dialogue initiated to update the initial description, which continues until the updated description can be related to a location in the environment. In each interaction, the wayfinder is incrementally asked about the visibility of a particular object to update the initial description. This paper presents an entropy-based model to minimize the number of interactions. We show how this entropy-based model leads to a significant reduction of interactions (i.e., reduction of conversation length, measured by the number of additional referents) compared to baseline models. Moreover, the effect of the initial description, i.e., the first set of visible objects with different combinations, is investigated.
Cite as

Kimia Amoozandeh, Ehsan Hamzei, and Martin Tomko. An Entropy-Based Model for Indoor Self-Localization Through Dialogue (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 24:1-24:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@InProceedings{amoozandeh_et_al:LIPIcs.COSIT.2022.24,
  author =	{Amoozandeh, Kimia and Hamzei, Ehsan and Tomko, Martin},
  title =	{{An Entropy-Based Model for Indoor Self-Localization Through Dialogue}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{24:1--24:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.24},
  URN =		{urn:nbn:de:0030-drops-169095},
  doi =		{10.4230/LIPIcs.COSIT.2022.24},
  annote =	{Keywords: Indoor self-localization, Dialogue, Entropy}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2019.12
Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper)

Authors: Ehsan Hamzei, Stephan Winter, and Martin Tomko

Published in: LIPIcs, Volume 142, 14th International Conference on Spatial Information Theory (COSIT 2019)

Abstract
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.
Cite as

Ehsan Hamzei, Stephan Winter, and Martin Tomko. Initial Analysis of Simple Where-Questions and Human-Generated Answers (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 12:1-12:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@InProceedings{hamzei_et_al:LIPIcs.COSIT.2019.12,
  author =	{Hamzei, Ehsan and Winter, Stephan and Tomko, Martin},
  title =	{{Initial Analysis of Simple Where-Questions and Human-Generated Answers}},
  booktitle =	{14th International Conference on Spatial Information Theory (COSIT 2019)},
  pages =	{12:1--12:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-115-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{142},
  editor =	{Timpf, Sabine and Schlieder, Christoph and Kattenbeck, Markus and Ludwig, Bernd and Stewart, Kathleen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2019.12},
  URN =		{urn:nbn:de:0030-drops-111049},
  doi =		{10.4230/LIPIcs.COSIT.2019.12},
  annote =	{Keywords: question answering, scale, prominence, where-questions}
}
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