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dc.contributor.author | Matias Mendoza, Griselda Areli | |
dc.contributor.author | Ledeneva, Yulia | |
dc.contributor.author | García Hernández, René Arnulfo | |
dc.date.accessioned | 2022-02-05T04:19:46Z | |
dc.date.available | 2022-02-05T04:19:46Z | |
dc.date.issued | 2021-10-15 | |
dc.identifier.isbn | 978-607-538-809-0 | |
dc.identifier.isbn | 978-607-633-341-9 | |
dc.identifier.isbn | 978-607-633-342-6 | |
dc.identifier.isbn | 978-607-538-810-6 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/112111 | |
dc.description.abstract | This book that deal with the tasks of automatic generation of summaries from a qualitative and quantitative standpoint. Firstly, the results of Turing tests carried out on machines that produce summaries at present in the most spoken and written languages such as English, Spanish, Portuguese and Russian are presented with a view to finding out if a summary made by a machine has sufficient quality to confuse a human so that they fail to notice the summary was made by a machine. Later on, the integration and quantitative reports of the novel methods developed so far are presented, as well a comparison with the systems that generate automatic summaries is made. | es |
dc.description.sponsorship | Universidad Autónoma del Estado de México | es |
dc.language.iso | eng | es |
dc.publisher | Alfaomega Grupo Editor, S.A. de C.V., Universidad Autónoma del Estado de México | es |
dc.rights | openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | es |
dc.subject | Detection | es |
dc.subject | Ideas | es |
dc.subject | Production | es |
dc.subject | Summaries | es |
dc.subject | Turing test | es |
dc.subject | Generate | es |
dc.subject | Structure | es |
dc.subject | Heuristics | es |
dc.subject | Assessment metrics | es |
dc.subject | Baseline | es |
dc.subject | Random | es |
dc.subject | Automatic | es |
dc.subject | Accuracy | es |
dc.subject | Recall | es |
dc.subject | Measure | es |
dc.subject | Pyramid method | es |
dc.subject | Methods | es |
dc.subject | Summons system | es |
dc.subject | Cut | es |
dc.subject | Paste | es |
dc.subject | Conceptual | es |
dc.subject | Graphs | es |
dc.subject | Language | es |
dc.subject | Tools | es |
dc.subject | Copernic | es |
dc.subject | Microsoft Office Word | es |
dc.subject | Online tools | es |
dc.subject | SweSum | es |
dc.subject | T-Conspectus | es |
dc.subject | Open Text Summarizer (OTS) | es |
dc.subject | Text Compactor | es |
dc.subject | Summarizing | es |
dc.subject | Summarizer | es |
dc.subject | Tools4noobs | es |
dc.subject | Pertinence Summarizer | es |
dc.subject | Shvoong | es |
dc.subject | Resumo | es |
dc.subject | BigdataSummarizer | es |
dc.subject | Conferences | es |
dc.subject | Workshops | es |
dc.subject | Corpora | es |
dc.subject | Analysis | es |
dc.subject | Novel scientific methods | es |
dc.subject | Ma-SingleDocSum | es |
dc.subject | UnifiedRank | es |
dc.subject | AG-Bag-Words | es |
dc.subject | AG-Bigramas | es |
dc.subject | AG-Multi | es |
dc.subject | TextRank | es |
dc.subject | Maximal Frequent Sentences | es |
dc.subject | AG-4feature | es |
dc.subject | Organization of TeMário | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.title | Detection of main ideas and production of summaries in English, Spanish, Portuguese an Russian. 60 years of research | es |
dc.type | Libro | es |
dc.provenance | Científica | es |
dc.road | Verde | es |
dc.ambito | Internacional | es |
dc.cve.CenCos | 10301 | es |