Abstract
Topic boundary detection in French TV Broadcast News is addressed in this paper with an approach based on the combination of two views: lexical cohesion and speaker role analysis. We propose an improved selection strategy from the classical lexical cohesion curve as well as an integrated supervised classification approach that jointly exploits the two views. The combination of these methods leads to significant improvements on a rich French database composed of shows from 7 different channels.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amaral, R., Trancoso, I.: Exploring the structure of broadcast news for topic segmentation. In: Vetulani, Z., Uszkoreit, H. (eds.) LTC 2007. LNCS, vol. 5603, pp. 1–12. Springer, Heidelberg (2009)
Claveau, V., Lefèvre, S.: Topic segmentation of tv-streams by mathematical morphology and vectorization. In: INTERSPEECH, pp. 1105–1108 (2011)
Damnati, G., Charlet, D.: Multi-view approach for speaker turn role labeling in tv broadcast news shows. In: INTERSPEECH, pp. 1285–1288 (2011)
Dumont, E., Quénot, G.: Automatic story segmentation for tv news video using multiple modalities. Int. J. Digital Multimedia Broadcasting (2012)
Fayyad, U.M., Irani, K.B.: Multi-interval discretization of continuous-valued attributes for classification learning. In: International Joint Conference on Artificial Intelligence, pp. 1022–1029 (1993)
Gauvain, J.L., Lamel, L., Adda, G.: The limsi broadcast news transcription system. Speech Communication 37(1-2), 89–108 (2002)
Guinaudeau, C.: Structuration automatique de flux télévisuels. Thèse, INSA de Rennes (2011)
Guinaudeau, C., Gravier, G., Sébillot, P.: Enhancing lexical cohesion measure with confidence measures, semantic relations and language model interpolation for multimedia spoken content topic segmentation. Computer Speech and Language 26(2), 90–104 (2012)
Guinaudeau, C., Hirschberg, J.: Accounting for prosodic information to improve asr-based topic tracking for tv broadcast news. In: INTERSPEECH, pp. 1401–1404 (2011)
Hadsell, R., Kira, Z., Wang, W., Precoda, K.: Unsupervised topic modeling for leader detection in spoken discourse. In: ICASSP, pp. 5113–5116 (2012)
Hearst, M.A.: Texttiling: segmenting text into multi-paragraph subtopic passages. Comput. Linguist. 23(1), 33–64 (1997)
Lecorvé, G., Gravier, G., Sébillot, P.: An unsupervised web-based topic language model adaptation method. In: ICASSP, pp. 5081–5084 (2008)
Malioutov, I., Barzilay, R.: Minimum cut model for spoken lecture segmentation. In: International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics, pp. 25–32 (2006)
Rosenberg, A., Hirschberg, J.: Story segmentation of brodcast news in english, mandarin and arabic. In: Proceedings of the Human Language Technology Conference of the NAAC, pp. 125–128 (2006)
Sitbon, L., Bellot, P.: Topic segmentation using weighted lexical links (wll). In: SIGIR, pp. 737–738 (2007)
Tür, G., Hakkani-Tür, D.Z., Stolcke, A., Shriberg, E.: Integrating prosodic and lexical cues for automatic topic segmentation. Computational Linguistics 27(1), 31–57 (2001)
Tür, G., Stolcke, A., Voss, L.L., Peters, S., Hakkani-Tür, D., Dowding, J., Favre, B., Fernández, R., Frampton, M., Frandsen, M.W., Frederickson, C., Graciarena, M., Kintzing, D., Leveque, K., Mason, S., Niekrasz, J., Purver, M., Riedhammer, K., Shriberg, E., Tien, J., Vergyri, D., Yang, F.: The calo meeting assistant system. IEEE Transactions on Audio, Speech and Language Processing 18(6), 1601–1611 (2010)
Utiyama, M., Isahara, H.: A statistical model for domain-independent text segmentation. In: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, pp. 499–506 (2001)
Winston, H., Hsu, H.-M., Chang, S.-F.: A statistical framework for fusing mid-level perceptual features in news story segmentation. In: International Conference on Multimedia and Expo, pp. 413–416 (2003)
Xiaoxuan, W., Lei, X., Mimi, L., Bin, M., Chng, E.S., Haizhou, L.: Broadcast news story segmentation using conditional random fields and multimodal features. IEICE Transactions on Information and Systems 95(5), 1206–1215 (2012)
Xie, L., Yang, Y., Liu, Z.Q., Feng, W., Liu, Z.: Integrating acoustic and lexical features in topic segmentation of chinese broadcast news using maximum entropy approach. In: International Conference on Audio, Language and Image Processing, pp. 407–413 (2010)
Xie, L., Yang, Y., Zeng, J.: Subword lexical chaining for automatic story segmentation in chinese broadcast news. In: Huang, Y.-M.R., Xu, C., Cheng, K.-S., Yang, J.-F.K., Swamy, M.N.S., Li, S., Ding, J.-W. (eds.) PCM 2008. LNCS, vol. 5353, pp. 248–258. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bouchekif, A., Damnati, G., Charlet, D. (2013). Complementarity of Lexical Cohesion and Speaker Role Information for Story Segmentation of French TV Broadcast News. In: Dediu, AH., Martín-Vide, C., Mitkov, R., Truthe, B. (eds) Statistical Language and Speech Processing. SLSP 2013. Lecture Notes in Computer Science(), vol 7978. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39593-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-39593-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39592-5
Online ISBN: 978-3-642-39593-2
eBook Packages: Computer ScienceComputer Science (R0)