000 | nam a22 7a 4500 | ||
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999 |
_c523549 _d523662 |
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003 | BR-BrENAP | ||
005 | 20211221194046.0 | ||
008 | 211221b xxu||||| |||| 00| 0 por d | ||
020 | _a9783030042981 | ||
040 |
_aBR-BrENAP _bPt_BR |
||
041 | _aeng | ||
090 |
_a371.334 _bG159d |
||
100 | 1 |
_967114 _aGalitsky, Boris |
|
245 | 1 |
_aDeveloping enterprise chatbots : _blearning linguistic structure / _cpor Boris Galitsky. -- |
|
260 |
_aEstados Unidos da América : _bSpringer, _c2019. |
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300 | _a559 p. | ||
504 | _aInclui bibliografia. | ||
505 |
_t1 Introduction _t2 Chatbot components an architectures _t3 Explainable machine learning for chatbots _t4 Developing conversational natural language interface to a database _t5 Assuring chatbot relevance at syntactic level _t6 Semantic skeleton thesauri for question answering bots _t7 Learning discourse-level structures for question answering _t8. Building chatbot thesaurus _t9 A content management system for chatbots _t10 Rhetorical agreement: maintainig cohesive coversations _t11 Discourse-level dialogue management _t12 A social promotion chatbot _t13. Enabling a bot with understanding argumentation and providing arguments _t14 Rhetorical map of an answer _t15 Conclusions |
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650 | 0 |
_960920 _aEmpreendimentos _z(subd. geog.) |
|
650 |
_912340 _a Linguagem de Programacao |
||
650 | 0 |
_964453 _aComputadores _z(subd. geog.) |
|
909 |
_a202112 _bNoély |
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942 | _cL |