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Bot2Vec: Learning Representations of Chatbots
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
Chatbots (i.e., bots) are becoming widely used in multiple domains, along with supporting bot programming platforms. These platforms are equipped with novel testing tools aimed at improving the quality of individual chatbots. Doing so requires an understanding of what sort of bots are being built (captured by their underlying conversation graphs) and how well they perform (derived through analysis of conversation logs). In this paper, we propose a new model, BOT2VEC, that embeds bots to adoi:10.18653/v1/s19-1009 dblp:conf/starsem/HerzigSSK19 fatcat:rj2hrc3wirfsdhcbhv6kz75osu