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This paper describes on-going work related to the topic segmentation and indexation module of an alert system for selective dissemination of multimedia information. This system was submitted in the past year to a field trial which exposed a number of issues that should be dealt with in order to improve its performance. Some of our efforts involved the use of multiple topics, confidence measures and named entity extraction. This paper discusses these approaches and the corresponding results which, unfortunately, are still affected by the limited amount of topic-annotated training data.