A large number of papers are published every year, and so amount of knowledge available for scientific society is increasing. However, a considerable lag exists between the paper creation time and the paper publication time due to various objective reasons. Conference proceedings have the lowest lag, but still for most of them papers must be submitted a few months before the date of the event. On the other hand, call for paper messages are available even before deadlines. Information they provide is useful not only for researchers seeking for an appropriate conference. For instance, topics of interest provide data for analysis of developing research fields, and program committee lists are sources of information concerned with researcher affiliation discovery task. Therefore, in this paper we consider a method to extract information from CFP messages.