Politician -- An Imitation Game

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390113" target="_blank" >RIV/00216208:11320/18:10390113 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Politician -- An Imitation Game

Popis výsledku v původním jazyce

We present the question-answering system Politician, which is a chatbot designed to imitate a fictional politician. The chatbot accepts questions on political issues and answers them accordingly. The questions are analyzed using natural language processing techniques, mainly using a custom scenario built on Treex, and no complex knowledge base is involved. There are two working versions so far, in Czech and in English. Once morphological and syntactic annotations are available for the question, an appropriate answer template is selected from the manually created set of answer templates based on the nouns, verbs and named entities present in the question. After that, the answer template is transformed into a grammatically correct reply. We also briefly investigated the differences between the two languages and potential generalization of the approach to other topics. Apparently, morphological and syntactic information provides enough data for a very basic understanding of questions on a specific topic.

Název v anglickém jazyce

Politician -- An Imitation Game

Popis výsledku anglicky

We present the question-answering system Politician, which is a chatbot designed to imitate a fictional politician. The chatbot accepts questions on political issues and answers them accordingly. The questions are analyzed using natural language processing techniques, mainly using a custom scenario built on Treex, and no complex knowledge base is involved. There are two working versions so far, in Czech and in English. Once morphological and syntactic annotations are available for the question, an appropriate answer template is selected from the manually created set of answer templates based on the nouns, verbs and named entities present in the question. After that, the answer template is transformed into a grammatically correct reply. We also briefly investigated the differences between the two languages and potential generalization of the approach to other topics. Apparently, morphological and syntactic information provides enough data for a very basic understanding of questions on a specific topic.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Internet Science

ISBN

978-3-319-77546-3

Počet stran výsledku

12

Strana od-do

201-212

Počet stran knihy

258

Název nakladatele

Springer International Publishing

Místo vydání

Cham, Switzerland

Kód UT WoS kapitoly

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