We report on the strategies in automatic summarization of spontaneous spoken dialogues. Our dialogue summarization system, MIMI, recognizes key linguisitc patterns and merges information to construct a summary of conference room scheduling dialogues. Dialogues about single reservations can be accurately summarized with a simple merging scheme, but we need several extensions and changes to cope with the aboutncss complexity in unrestricted dialogues - knowing exactly how many reservations are being discussed and which reservation values must be updated by subsequent utterances. A side effect of these extensions is a new problem of overrecognition caused by spoken language disfluencies. Keywords: Spontaneous Dialogues, Summarization, Information Extraction