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2019 | OriginalPaper | Chapter

6. Semantic Skeleton Thesauri for Question Answering Bots

Author : Boris Galitsky

Published in: Developing Enterprise Chatbots

Publisher: Springer International Publishing

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Abstract

We build a question–answering (Q/A) chatbot component for answering complex questions in poorly formalized and logically complex domains. Answers are annotated with deductively linked logical expressions (semantic skeletons), which are to be matched with formal representations for questions. We utilize a logic programming approach so that the search for an answer is implemented as determining clauses (associated with this answer) from which the formal representation of a question can be deduced. This Q/A technique has been implemented for the financial and legal domains, which are rather sophisticated on one hand and requires fairly precise answers on the other hand.

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Literature
go back to reference Acheampong KN, Pan Z-H, Zhou E-Q, Li X-Y (2016) Answer triggering of factoid questions: a cognitive approach. In: 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Acheampong KN, Pan Z-H, Zhou E-Q, Li X-Y (2016) Answer triggering of factoid questions: a cognitive approach. In: 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
go back to reference Baral C, Gelfond M, Scherl R (2004) Using answer set programming to answer complex queries. In: Workshop on pragmatics of question answering at HLT-NAAC2004 Baral C, Gelfond M, Scherl R (2004) Using answer set programming to answer complex queries. In: Workshop on pragmatics of question answering at HLT-NAAC2004
go back to reference Galitsky B (2003) Natural language question answering system: technique of semantic headers. Advance Knowledge International, Australia Galitsky B (2003) Natural language question answering system: technique of semantic headers. Advance Knowledge International, Australia
go back to reference Galitsky B (2004) Use of default reasoning for disambiguation under question answering. In: FLAIRS conference, pp 496–501 Galitsky B (2004) Use of default reasoning for disambiguation under question answering. In: FLAIRS conference, pp 496–501
go back to reference Galitsky B (2005) Disambiguation via default reasoning for answering complex questions. Intl J AI Tools N1-2:157–175CrossRef Galitsky B (2005) Disambiguation via default reasoning for answering complex questions. Intl J AI Tools N1-2:157–175CrossRef
go back to reference Galitsky B, Botros S (2012) Searching for associated events in log data. US Patent 8,306,967 Galitsky B, Botros S (2012) Searching for associated events in log data. US Patent 8,306,967
go back to reference Galitsky B, Kovalerchuk B (2014) Clusters, orders, and trees: methods and applications, pp 341–376 Galitsky B, Kovalerchuk B (2014) Clusters, orders, and trees: methods and applications, pp 341–376
go back to reference Galitsky B, Dobrocsi G, De La Rosa JL, Kuznetsov SO (2010) From generalization of syntactic parse trees to conceptual graphs. In: International conference on conceptual structures, pp 185–190 Galitsky B, Dobrocsi G, De La Rosa JL, Kuznetsov SO (2010) From generalization of syntactic parse trees to conceptual graphs. In: International conference on conceptual structures, pp 185–190
go back to reference Galitsky B, Ilvovsky D, Strok F, Kuznetsov SO (2013a) Improving text retrieval efficiency with pattern structures on parse thickets. In: Proceedings of FCAIR@IJCAI, pp 6–21 Galitsky B, Ilvovsky D, Strok F, Kuznetsov SO (2013a) Improving text retrieval efficiency with pattern structures on parse thickets. In: Proceedings of FCAIR@IJCAI, pp 6–21
go back to reference Galitsky B, Kuznetsov SO, Usikov D (2013b) Parse thicket representation for multi-sentence search. In: International conference on conceptual structures, pp 153–172 Galitsky B, Kuznetsov SO, Usikov D (2013b) Parse thicket representation for multi-sentence search. In: International conference on conceptual structures, pp 153–172
go back to reference Galitsky B, Ilvovsky D, Kuznetsov SO, Strok F (2014) Finding maximal common sub-parse thickets for multi-sentence search. In: Graph structures for knowledge representation and reasoning, IJCAI workshop, pp 39–57CrossRef Galitsky B, Ilvovsky D, Kuznetsov SO, Strok F (2014) Finding maximal common sub-parse thickets for multi-sentence search. In: Graph structures for knowledge representation and reasoning, IJCAI workshop, pp 39–57CrossRef
go back to reference Kovalerchuk B, Smigaj A (2015) Computing with words beyond quantitative words: incongruity modeling. In: 2015 annual conference of the north American fuzzy information processing society (NAFIPS). Redmond, WA Kovalerchuk B, Smigaj A (2015) Computing with words beyond quantitative words: incongruity modeling. In: 2015 annual conference of the north American fuzzy information processing society (NAFIPS). Redmond, WA
go back to reference Maybury MT (2000) Adaptive multimedia information access – ask questions, get answers. In: First international conference on adaptive hypertext AH 00, Trento, Italy Maybury MT (2000) Adaptive multimedia information access – ask questions, get answers. In: First international conference on adaptive hypertext AH 00, Trento, Italy
go back to reference Moldovan D, Pasca M, Harabagiu S, Surdeanu M (2002) Performance issues and error analysis in an open-domain question answering system. In: ACL-2002 Moldovan D, Pasca M, Harabagiu S, Surdeanu M (2002) Performance issues and error analysis in an open-domain question answering system. In: ACL-2002
go back to reference Ng HT, Lai Pheng Kwan J, Xia Y (2001) Question answering using a large text database: a machine learning approach. In: Proceedings of the 2001 conference on empirical methods in natural language processing. EMNLP 2001, Pittsburgh Ng HT, Lai Pheng Kwan J, Xia Y (2001) Question answering using a large text database: a machine learning approach. In: Proceedings of the 2001 conference on empirical methods in natural language processing. EMNLP 2001, Pittsburgh
go back to reference Pasca M (2003) Open-domain question answering from large text collections. CSLI Publication series Pasca M (2003) Open-domain question answering from large text collections. CSLI Publication series
go back to reference Popescu A-M, Etzioni O, Kautz H (2003) Towards a theory of natural language interfaces to databases. Intelligent user interface Popescu A-M, Etzioni O, Kautz H (2003) Towards a theory of natural language interfaces to databases. Intelligent user interface
go back to reference Rus V, Moldovan D (2002) High precision logic form transformation. Int J AI Tools 11(3):437–454CrossRef Rus V, Moldovan D (2002) High precision logic form transformation. Int J AI Tools 11(3):437–454CrossRef
go back to reference Sidorov G (2014) Should syntactic N-grams contain names of syntactic relations? Int J Comput Linguist Appl 5(1):139–158 Sidorov G (2014) Should syntactic N-grams contain names of syntactic relations? Int J Comput Linguist Appl 5(1):139–158
go back to reference Winograd T (1972) Understanding natural language. Academic, New York Winograd T (1972) Understanding natural language. Academic, New York
Metadata
Title
Semantic Skeleton Thesauri for Question Answering Bots
Author
Boris Galitsky
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-04299-8_6

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