Domain-Informed Topic Detection

Author:

Flynn Cormac,Dunnion John

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y.: Topic Detection and Tracking Pilot Study Final Report. In: Proc. DARPA Broadcast News Transcription and Understanding Workshop (1998)

2. Arampatzis, A., van der Weide, T., Koster, C., van Bommel, P.: Term Selection for Filtering based on Distribution of Terms over Time. In: Proc. RIAO 2000 Con tent-Based Multimedia Information Access, Paris, France, pp. 1221–1237 (2000)

3. Hatzivassiloglou, V., Gravano, L., Maganti, A.: An Investigation of Linguistic Features and Clustering Algorithms for Topical Document Clustering. In: Proc. 23rd Annual International ACM SIGIR Conference, pp. 224–231 (2000)

4. Yang, Y., Carbonell, J., Brown, R., Pierce, T., Archibald, B.T., Liu, X.: Learning Approaches for Detecting and Tracking News Events. IEEE Intelligent Systems 14, 32–43 (1999)

5. Griths, A., Robinson, L., Willett, P.: Hierarchic Agglomerative Clustering Methods for Automatic Document Classication. Journal of Documentation 40, 175–205 (1984)

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