A conversational agent, also known as chatbot, is a machine conversational system which interacts with human users via natural language. Traditionally, chatbot technology is built under certain set of “manually” elaborated conversational rules. However, given the availability of large and real examples of humans’ interactions in the web, automatically generating these rules is becoming a more feasible option. In this paper we describe an approach for building and training a conversational agent, which holds a teenager personality and it is able to dialogue in Mexican Spanish. By means of this chatter bot we aim at assisting law enforcement officers in the prevention of cyber-pedophilia. Our performed experiments demonstrate that our developed chatbot is able to elaborate comparable lexical and syntactical constructions to those a teenager would produce. As an additional contribution, we compile and release a large dialogue corpus containing real examples of conversations among teenagers.
CITATION STYLE
Callejas-Rodríguez, Á., Villatoro-Tello, E., Meza, I., & Ramírez-de-la-Rosa, G. (2016). From dialogue corpora to dialogue systems: Generating a chatbot with teenager personality for preventing cyber-pedophilia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9924 LNCS, pp. 531–539). Springer Verlag. https://doi.org/10.1007/978-3-319-45510-5_61
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