Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application

Kristiina Jokinen, Graham Wilcock


Abstract
The paper describes topic shifting in dialogues with a robot that provides information from Wiki-pedia. The work focuses on a double topical construction of dialogue coherence which refers to discourse coherence on two levels: the evolution of dialogue topics via the interaction between the user and the robot system, and the creation of discourse topics via the content of the Wiki-pedia article itself. The user selects topics that are of interest to her, and the system builds a list of potential topics, anticipated to be the next topic, by the links in the article and by the keywords extracted from the article. The described system deals with Wikipedia articles, but could easily be adapted to other digital information providing systems.
Anthology ID:
W16-4408
Volume:
Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)
Month:
December
Year:
2016
Address:
Osaka, Japan
Editors:
Key-Sun Choi, Christina Unger, Piek Vossen, Jin-Dong Kim, Noriko Kando, Axel-Cyrille Ngonga Ngomo
Venue:
WS
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
59–66
Language:
URL:
https://aclanthology.org/W16-4408
DOI:
Bibkey:
Cite (ACL):
Kristiina Jokinen and Graham Wilcock. 2016. Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application. In Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016), pages 59–66, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application (Jokinen & Wilcock, 2016)
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PDF:
https://aclanthology.org/W16-4408.pdf