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Capturing and answering questions posed to a knowledge-based system

Published: 28 October 2007 Publication History

Abstract

As part of the ongoing project, Project Halo, our goal is to build a system capable of answering questions posed by novice users to a formal knowledge base. In our current context, the knowledge base covers selected topics in physics, chemistry, and biology, and our question set consists of AP (advanced high-school) level examination questions. The task is challenging because the questions are linguistically complex and are often incomplete (assume unstated knowledge), and because the users do not have prior knowledge of the system's contents. Our solution involves two parts: a controlled language interface, in which users reformulate the original natural language questions in a simplified version of English, and a novel problem solver that can elaborate initially inadequate logical interpretations of a question by selecting relevant pieces of knowledge in the knowledge base. An evaluation of the work in 2006 showed that this approach is feasible and that complex, multisentence questions can be posed and answered, thus illustrating novel ways of dealing with the knowledge capture impedance between users and a formal knowledge base, while also revealing challenges that still remain.

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cover image ACM Conferences
K-CAP '07: Proceedings of the 4th international conference on Knowledge capture
October 2007
216 pages
ISBN:9781595936431
DOI:10.1145/1298406
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

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Author Tags

  1. controlled language
  2. knowledge-based systems
  3. problem solving
  4. question answering

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K-CAP07
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K-CAP07: International Conference on Knowledge Capture 2007
October 28 - 31, 2007
BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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  • (2023)Span Detection for Kinematics Word ProblemsNeural Information Processing10.1007/978-981-99-1645-0_23(276-288)Online publication date: 14-Apr-2023
  • (2019)RestKB: A Library of Commonsense Knowledge about Dining at a RestaurantElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.306.19306(126-139)Online publication date: 19-Sep-2019
  • (2019)‘Webbish writing’ for global communication in the Web 3.0The Journal of Internationalization and Localization10.1075/jial.18002.shi5:2(142-163)Online publication date: 21-Jan-2019
  • (2019)An Ontology-Based Kinematics Problem Solver Using Qualitative and Quantitative KnowledgeNew Generation Computing10.1007/s00354-019-00067-xOnline publication date: 3-Sep-2019
  • (2016) Core ALM lib : An library translated from the Component Library Theory and Practice of Logic Programming10.1017/S147106841600036316:5-6(800-816)Online publication date: 14-Oct-2016
  • (2016)Bridging the Gap Between Formal Languages and Natural Languages with ZippersProceedings of the 13th International Conference on The Semantic Web. Latest Advances and New Domains - Volume 967810.1007/978-3-319-34129-3_17(269-284)Online publication date: 29-May-2016
  • (2015)An Intelligent Textbook that Answers QuestionsKnowledge Engineering and Knowledge Management10.1007/978-3-319-17966-7_16(131-135)Online publication date: 21-Apr-2015
  • (2014)A survey and classification of controlled natural languagesComputational Linguistics10.1162/COLI_a_0016840:1(121-170)Online publication date: 1-Mar-2014
  • (2014)Question Generation from a Knowledge BaseKnowledge Engineering and Knowledge Management10.1007/978-3-319-13704-9_5(54-65)Online publication date: 2014
  • (2013)Inquire Biology: A Textbook that Answers QuestionsAI Magazine10.1609/aimag.v34i3.248634:3(55-72)Online publication date: 1-Sep-2013
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