SystemyDialogowe-ProjektMag.../lab/06-architektura-systemu-dialogowego.ipynb
2022-04-13 12:35:09 +02:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"![Logo 1](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech1.jpg)\n",
"<div class=\"alert alert-block alert-info\">\n",
"<h1> Systemy Dialogowe </h1>\n",
"<h2> 6. <i>Architektura systemu dialogowego ukierunkowanego na wykonanie zadania</i> [laboratoria]</h2> \n",
"<h3> Marek Kubis (2021)</h3>\n",
"</div>\n",
"\n",
"![Logo 2](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech2.jpg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Architektura systemu dialogowego ukierunkowanego na wykonanie zadania\n",
"=====================================================================\n",
"\n",
"Podstawowe komponenty systemu dialogowego\n",
"-----------------------------------------\n",
"\n",
"<img 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\" />\n",
"\n",
"### System rozpoznawania mowy\n",
"\n",
"**Nazwa ang.:** Automatic Speech Recognition (ASR) lub Speech To Text (STT).\n",
"\n",
"**Opis:** Modu\u0142 odpowiedzialny za zamian\u0119 mowy na tekst.\n",
"\n",
"**Wej\u015bcie:** Sygna\u0142 audio\n",
"\n",
"**Wyj\u015bcie:** Tekst\n",
"\n",
"### Analizator j\u0119zyka naturalnego\n",
"**Nazwa ang.:** Natural Language Understanding (NLU).\n",
"\n",
"**Opis:** Modu\u0142 odpowiedzialny za analiz\u0119 tekstu.\n",
"W wyniku jego dzia\u0142ania tekstowa reprezentacja wypowiedzi u\u017cytkownika zostaje zamieniona na jej\n",
"reprezentacj\u0119 semantyczn\u0105, najcz\u0119\u015bciej w postaci *ramy*.\n",
"\n",
"**Wej\u015bcie:** Tekst\n",
"\n",
"**Wyj\u015bcie:** Akt u\u017cytkownika (rama)\n",
"\n",
"### Monitor Stanu Dialogu\n",
"**Nazwa ang.:** Dialogue State Tracker (DST).\n",
"\n",
"**Opis:** Modu\u0142 odpowiedzialny za \u015bledzenie stanu dialogu.\n",
"Przechowuje informacje o tym jakie dane zosta\u0142y uzyskane od u\u017cytkownika w toku prowadzonej\n",
"konwersacji.\n",
"\n",
"**Wej\u015bcie:** Akt u\u017cytkownika (rama)\n",
"\n",
"**Wyj\u015bcie:** Reprezentacja stanu dialogu (rama)\n",
"\n",
"### Taktyka Dialogu\n",
"**Nazwa ang.:** Dialogue Policy\n",
"\n",
"**Opis:** Modu\u0142 decyduj\u0105cy o wyborze kolejnego aktu, kt\u00f3ry ma podj\u0105\u0107 system prowadz\u0105c rozmow\u0119.\n",
"\n",
"**Wej\u015bcie:** Reprezentacja stanu dialogu (rama)\n",
"\n",
"**Wyj\u015bcie:** Akt systemu (rama)\n",
"\n",
"### Generator j\u0119zyka naturalnego\n",
"**Nazwa ang.:** Natural Language Generation (NLG)\n",
"\n",
"**Opis:** Modu\u0142, kt\u00f3ry tworzy reprezentacj\u0119 tekstow\u0105 aktu systemowego wybranego przez taktyk\u0119 dialogu.\n",
"\n",
"**Wej\u015bcie:** Akt systemu (rama)\n",
"\n",
"**Wyj\u015bcie:** Tekst\n",
"\n",
"### System syntezy mowy\n",
"**Nazwa ang.:** Text To Speech (TTS)\n",
"\n",
"**Opis:** Modu\u0142 odpowiedzialny za zamian\u0119 tekstu na mow\u0119.\n",
"\n",
"**Wej\u015bcie:** Tekst\n",
"\n",
"**Wyj\u015bcie:** Sygna\u0142 audio\n",
"\n",
"Zadanie\n",
"-------\n",
"Zaimplementowa\u0107 makiety dla analizatora j\u0119zyka naturalnego, monitora stanu dialogu, taktyki\n",
"dialogowej oraz generatora j\u0119zyka naturalnego.\n",
"\n",
"Makiety powinny realizowa\u0107 scenariusz, w kt\u00f3rym u\u017cytkownik pyta agenta o to jak ma na imi\u0119.\n",
"\n",
"### Przyk\u0142ad\n",
"```\n",
"user: Cze\u015b\u0107, jak masz na imi\u0119?\n",
"system: Witaj, nazywam si\u0119 Dia.\n",
"```"
]
}
],
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
},
"author": "Marek Kubis",
"email": "mkubis@amu.edu.pl",
"lang": "pl",
"subtitle": "6.Architektura systemu dialogowego ukierunkowanego na wykonanie zadania[laboratoria]",
"title": "Systemy Dialogowe",
"year": "2021"
},
"nbformat": 4,
"nbformat_minor": 4
}