Abstract
In this paper we compare a number of Topiary-style headline generation systems. The Topiary system, developed at the University of Maryland with BBN, was the top performing headline generation system at DUC 2004. Topiary-style headlines consist of a number of general topic labels followed by a compressed version of the lead sentence of a news story. The Topiary system uses a statistical learning approach to finding topic labels for headlines, while our approach, the LexTrim system, identifies key summary words by analysing the lexical cohesive structure of a text. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news stories collection. The results of these experiments show that a baseline system that identifies topic descriptors for headlines using term frequency counts outperforms the LexTrim and Topiary systems. A manual evaluation of the headlines also confirms this result.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Document Understanding Conference, DUC, http://duc.nist.gov/
Lin, C.-Y., Hovy, E.: Automatic Evaluation of Summaries using n-gram Co-occurrence Statistics. In: The Proceedings of HLT/NACCL (2003)
Zajic, D., Dorr, B., Schwartz, R.: BBN/UMD at DUC-2004: Topiary. In: The Proceedings of the Document Understanding Conference, DUC (2004)
Kraaij, W., Spitters, M., Hulth, A.: Headline extraction based on a combination of uni- and multi-document summarization techniques. In: The Proceedings of the ACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2002 (2002)
Alfonseca, E., Rodriguez, P.: Description of the UAM system for generating very short summaries at DUC 2003. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2003 (2003)
Copeck, T., Szpakowicz, S.: Picking phrases, picking sentences. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2003 (2003)
Zhou, L., Hovy, E.: Headline Summarization at ISI. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2003 (2003)
Lacatusu, F., Hickl, A., Harabagiu, S., Nezda, L.: Lite-GISTexter at DUC2004. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2004 (2004)
Angheluta, R., Mitra, R., Jing, X., Moens, M.-F., Leuven, K.U.: Summarization System at DUC 2004. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference. DUC 2004 (2004)
Alfonseca, E., Moreno-Sandoval, A., Guirao, J.M.: Description of the UAM System for Generation Very Short Summaries at DUC 2004. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2004 (2004)
Kolluru, B., Christensen, H., Gotoh, Y.: Decremental Feature-based Compaction. In: The Proceedings of the HLT/NAACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2004 (2004)
Zhou, L., Hovy, E.: Template-filtered Headline Summarization. In: The Proceedings of the ACL workshop, Text Summarization Branches Out, pp. 56–60 (2004)
Witbrock, M., Mittal, V.: Ultra-Summarisation: A Statistical approach to generating highly condensed non-extractive summaries. In: The Proceedings of the ACM-SIGIR, pp. 315–316 (1999)
Banko, M., Mittal, V., Witbrock, M.: Generating Headline-Style Summaries. In: The Proceedings of the Association for Computational Linguistics (2000)
Jin, R., Hauptmann, A.G.: A new probabilistic model for title generation. In: The Proceedings of the International Conference on Computational Linguistics (2002)
Berger, A.L., Mittal, V.O.: OCELOT: a system for summarizing Web pages. In: The Proceedings of the ACM-SIGIR, pp. 144–151 (2000)
Zajic, D., Dorr, B.: Automatic headline generation for newspaper stories. In: The Proceedings of the ACL workshop on Automatic Summarization/Document Understanding Conference, DUC 2002 (2002)
Dorr, B., Zajic, D., Schwartz, R.: Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation. In: The Proceedings of the Document Understanding Conference, DUC (2003)
Morris, J., Hirst, G.: Lexical Cohesion by Thesaural Relations as an Indicator of the Structure of Text. Computational Linguistics 17(1) (1991)
Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: Five Papers on WordNet. CSL Report 43, Cognitive Science Laboratory, Princeton University (July 1990)
Collins, M.: Three generative lexicalised models for statistical parsing. In: The Proceedings of ACL (1997)
Miller, S., Crystal, M., Fox, H., Ramshaw, L., Schwartz, R., Stones, R., Weischedel, R.: BBN: Description of the SIFT system as used for MUC-7. In: The Proceedings of MUC-7 (1998)
Xu, J., Broglio, J., Croft, W.B.: The design and implementation of a part of speech tagger for English. Technical Report IR-52, University of Massachusetts, Amherst, Center for Intelligent Information Retrieval (1994)
Stokes, N.: Applications of Lexical Cohesion Analysis in the Topic Detection and Tracking domain. Ph.D. thesis. Department of Computer Science, University College Dublin (2004)
Stokes, N., Newman, E., Carthy, J., Smeaton, A.F.: Broadcast News Gisting using Lexical Cohesion Analysis. In: McDonald, S., Tait, J.I. (eds.) ECIR 2004. LNCS, vol. 2997, pp. 209–222. Springer, Heidelberg (2004)
Lin, C.-Y.: ROUGE: A Package for Automatic Evaluation of Summaries. In: The Proceedings of the ACL workshop, Text Summarization Branches Out, pp. 56–60 (2004)
Doran, W.P., Stokes, N., Newman, E., Dunnion, J., Carthy, J., Toolan, F.: News Story Gisting at University College Dublin. In: The Proceedings of the Document Understanding Conference, DUC (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, R., Stokes, N., Doran, W.P., Newman, E., Carthy, J., Dunnion, J. (2005). Comparing Topiary-Style Approaches to Headline Generation. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-31865-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25295-5
Online ISBN: 978-3-540-31865-1
eBook Packages: Computer ScienceComputer Science (R0)