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arXiv · 1809.06641

Talking to myself: self-dialogues as data for conversational agents

Joachim Fainberg·Ben Krause·Mihai Dobre·Marco Damonte·Emmanuel Kahembwe·Daniel Duma·Bonnie Webber·Federico Fancellu
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Abstract

Conversational agents are gaining popularity with the increasing ubiquity of smart devices. However, training agents in a data driven manner is challenging due to a lack of suitable corpora. This paper presents a novel method for gathering topical, unstructured conversational data in an efficient way: self-dialogues through crowd-sourcing. Alongside this paper, we include a corpus of 3.6 million words across 23 topics. We argue the utility of the corpus by comparing self-dialogues with standard two-party conversations as well as data from other corpora.

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Joachim Fainberg, Ben Krause, Mihai Dobre, Marco Damonte, Emmanuel Kahembwe, Daniel Duma, Bonnie Webber, Federico Fancellu. 2018-09-18. Talking to myself: self-dialogues as data for conversational agents. https://arxiv.org/abs/1809.06641

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