Matches in SemOpenAlex for { <https://semopenalex.org/work/W2970801770> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2970801770 abstract "The aim of this paper is to present a methodology for creating expert systems by processing texts in order to respond to the queries of a question answering system. In previous work, we have shown several algorithms that were able to extract causal information from text documents and to summarize it. These approaches extracted knowledge from unstructured information, but the performed representation could not be processed automatically to infer new knowledge. Generated summaries only present the information in natural language, and hence cannot be processed in order to generate complex implications. In this paper, we introduce a procedure capable of using this knowledge in order to infer new causal relations between concepts automatically by creating expert systems from the processed texts. These expert systems will contain the causal relations presented in the processed texts. In this representation, by using logic programming, we can infer new concepts that are implied by causal relations. We describe the methodology, technical details of the implementation of our question answering system and a full example where its usefulness is described." @default.
- W2970801770 created "2019-09-05" @default.
- W2970801770 creator A5022734768 @default.
- W2970801770 creator A5035074807 @default.
- W2970801770 creator A5070783543 @default.
- W2970801770 date "2019-01-01" @default.
- W2970801770 modified "2023-09-24" @default.
- W2970801770 title "Generating a Question Answering System from Text Causal Relations" @default.
- W2970801770 cites W1510346750 @default.
- W2970801770 cites W1663973292 @default.
- W2970801770 cites W1991646082 @default.
- W2970801770 cites W2053980763 @default.
- W2970801770 cites W2077096752 @default.
- W2970801770 cites W2081580037 @default.
- W2970801770 cites W2151542318 @default.
- W2970801770 cites W2550998066 @default.
- W2970801770 cites W2755749726 @default.
- W2970801770 cites W2911601159 @default.
- W2970801770 cites W3105071298 @default.
- W2970801770 cites W3122997370 @default.
- W2970801770 doi "https://doi.org/10.1007/978-3-030-29859-3_2" @default.
- W2970801770 hasPublicationYear "2019" @default.
- W2970801770 type Work @default.
- W2970801770 sameAs 2970801770 @default.
- W2970801770 citedByCount "6" @default.
- W2970801770 countsByYear W29708017702020 @default.
- W2970801770 countsByYear W29708017702021 @default.
- W2970801770 crossrefType "book-chapter" @default.
- W2970801770 hasAuthorship W2970801770A5022734768 @default.
- W2970801770 hasAuthorship W2970801770A5035074807 @default.
- W2970801770 hasAuthorship W2970801770A5070783543 @default.
- W2970801770 hasConcept C10138342 @default.
- W2970801770 hasConcept C120567893 @default.
- W2970801770 hasConcept C154945302 @default.
- W2970801770 hasConcept C161301231 @default.
- W2970801770 hasConcept C162324750 @default.
- W2970801770 hasConcept C17744445 @default.
- W2970801770 hasConcept C182306322 @default.
- W2970801770 hasConcept C195324797 @default.
- W2970801770 hasConcept C199539241 @default.
- W2970801770 hasConcept C204321447 @default.
- W2970801770 hasConcept C23123220 @default.
- W2970801770 hasConcept C2776359362 @default.
- W2970801770 hasConcept C41008148 @default.
- W2970801770 hasConcept C44291984 @default.
- W2970801770 hasConcept C58328972 @default.
- W2970801770 hasConcept C94625758 @default.
- W2970801770 hasConceptScore W2970801770C10138342 @default.
- W2970801770 hasConceptScore W2970801770C120567893 @default.
- W2970801770 hasConceptScore W2970801770C154945302 @default.
- W2970801770 hasConceptScore W2970801770C161301231 @default.
- W2970801770 hasConceptScore W2970801770C162324750 @default.
- W2970801770 hasConceptScore W2970801770C17744445 @default.
- W2970801770 hasConceptScore W2970801770C182306322 @default.
- W2970801770 hasConceptScore W2970801770C195324797 @default.
- W2970801770 hasConceptScore W2970801770C199539241 @default.
- W2970801770 hasConceptScore W2970801770C204321447 @default.
- W2970801770 hasConceptScore W2970801770C23123220 @default.
- W2970801770 hasConceptScore W2970801770C2776359362 @default.
- W2970801770 hasConceptScore W2970801770C41008148 @default.
- W2970801770 hasConceptScore W2970801770C44291984 @default.
- W2970801770 hasConceptScore W2970801770C58328972 @default.
- W2970801770 hasConceptScore W2970801770C94625758 @default.
- W2970801770 hasLocation W29708017701 @default.
- W2970801770 hasOpenAccess W2970801770 @default.
- W2970801770 hasPrimaryLocation W29708017701 @default.
- W2970801770 hasRelatedWork W1511492033 @default.
- W2970801770 hasRelatedWork W1529882076 @default.
- W2970801770 hasRelatedWork W1539943423 @default.
- W2970801770 hasRelatedWork W1576952215 @default.
- W2970801770 hasRelatedWork W2150908465 @default.
- W2970801770 hasRelatedWork W2613467614 @default.
- W2970801770 hasRelatedWork W2903058367 @default.
- W2970801770 hasRelatedWork W2918156780 @default.
- W2970801770 hasRelatedWork W2970801770 @default.
- W2970801770 hasRelatedWork W9662544 @default.
- W2970801770 isParatext "false" @default.
- W2970801770 isRetracted "false" @default.
- W2970801770 magId "2970801770" @default.
- W2970801770 workType "book-chapter" @default.