Task Graph Based Task-Oriented Dialogue System Using Dialogue Map for Second Language Learning [Konferenzbericht] Paper presented at the EUROCALL 2018 Conference (26th, Jyväskylä, Finland, 2018).

Autor/inn/en	Kwon, Oh-Woog; Kim, Young-Kil; Lee, Yunkeun
Titel	Task Graph Based Task-Oriented Dialogue System Using Dialogue Map for Second Language Learning [Konferenzbericht] Paper presented at the EUROCALL 2018 Conference (26th, Jyväskylä, Finland, 2018).
Quelle	(2018), (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Graphs; Second Language Learning; Second Language Instruction; English (Second Language); Task Analysis; Dialogs (Language); Korean; Natural Language Processing; Computer Assisted Instruction; Teaching Methods; Computer Software; Computer Mediated Communication; Maps + Suchen Sie Ihr Suchwort? Grafische Darstellung; Zweitsprachenerwerb; Fremdsprachenunterricht; English as second language; English; Second Language; Englisch als Zweitsprache; Aufgabenanalyse; Dialog; Dialogs; Dialogue; Dialogues; Koreanisch; Natürliche Sprache; Computer based training; Computerunterstützter Unterricht; Teaching method; Lehrmethode; Unterrichtsmethode; Computerkonferenz; Map; Karte
Abstract	This paper presents a rule-based task-oriented dialogue system for second language learning and a knowledge extraction method which automatically extracts the training data for Natural Language Understanding (NLU) and dialogue rules for dialogue management from a Dialogue Map (DM). The DM consists of turn-by-turn utterances between the system and the learner. Therefore, the proposed method can automatically extend a new dialogue domain by constructing a dialogue map with a simple format. We constructed two dialogue maps for English and Korean, respectively, and implemented English and Korean task-oriented dialogue systems using the DMs. In the experiments, although the turn success rates are relatively low (78.1% in English and 78.76% in Korean), the task success rates are 90.83% in English and 99.17% in Korean. The systems constructed by the proposed method should enable learners to communicate successfully in the topic despite some mistakes in the system responses. [For the complete volume of short papers, see ED590612.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01