Automatic Annotation of Werewolf Game Corpus with Players Revealing Oneselves as Seer/Medium and Divination/Medium Results
While playing the communication game {``}Are You a Werewolf{''}, a player always guesses other players{'} roles through discussions, based on his own role and other players{'} crucial utterances. The underlying goal of this paper is to construct an agent that can analyze the participating players{'} utterances and play the werewolf game as if it is a human. For a step of this underlying goal, this paper studies how to accumulate werewolf game log data annotated with identification of players revealing oneselves as seer/medium, the acts of the divination and the medium and declaring the results of the divination and the medium. In this paper, we divide the whole task into four sub tasks and apply CNN/SVM classifiers to each sub task and evaluate their performance.
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