{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:51:54Z","timestamp":1740099114071,"version":"3.37.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319995786"},{"type":"electronic","value":"9783319995793"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-99579-3_10","type":"book-chapter","created":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T03:36:09Z","timestamp":1535081769000},"page":"86-93","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Approach to Automatic Summarization of Television Programs"],"prefix":"10.1007","author":[{"given":"Marco","family":"Canora","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Garc\u00eda-Granada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emilio","family":"Sanchis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Encarna","family":"Segarra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,25]]},"reference":[{"issue":"1","key":"10_CR1","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007506220214","volume":"34","author":"D Beeferman","year":"1999","unstructured":"Beeferman, D., Berger, A., Lafferty, J.: Statistical models for text segmentation. Mach. Learn. 34(1), 177\u2013210 (1999)","journal-title":"Mach. Learn."},{"key":"10_CR2","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003). \nhttp:\/\/dl.acm.org\/citation.cfm?id=944919.944937"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, J., Lapata, M.: Neural summarization by extracting sentences and words. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, 7\u201312 August 2016, Berlin, Volume 1: Long Papers (2016)","DOI":"10.18653\/v1\/P16-1046"},{"issue":"1","key":"10_CR4","first-page":"457","volume":"22","author":"G Erkan","year":"2004","unstructured":"Erkan, G., Radev, D.R.: Lexrank: graph-based lexical centrality as salience in text summarization. J. Artif. Int. Res. 22(1), 457\u2013479 (2004)","journal-title":"J. Artif. Int. Res."},{"key":"10_CR5","doi-asserted-by":"crossref","unstructured":"Fuentes, M., Alfonseca, E., Rodr\u00edguez, H.: Support vector machines for queryfocused summarization trained and evaluated on pyramid data. In: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL 2007, pp. 57\u201360. Association for Computational Linguistics, Stroudsburg (2007). \nhttp:\/\/dl.acm.org\/citation.cfm?id=1557769.1557788","DOI":"10.3115\/1557769.1557788"},{"issue":"4","key":"10_CR6","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1109\/TSA.2004.828699","volume":"12","author":"S Furui","year":"2004","unstructured":"Furui, S., Kikuchi, T., Shinnaka, Y., Hori, C.: Speech-to-text and speech-to-speech summarization of spontaneous speech. IEEE Trans. Speech Audio Process. 12(4), 401\u2013408 (2004)","journal-title":"IEEE Trans. Speech Audio Process."},{"key":"10_CR7","doi-asserted-by":"publisher","unstructured":"Gong, Y., Liu, X.: Generic text summarization using relevance measure and latent semantic analysis. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2001, pp. 19\u201325. ACM, New York (2001). \nhttps:\/\/doi.org\/10.1145\/383952.383955","DOI":"10.1145\/383952.383955"},{"key":"10_CR8","unstructured":"Lin, C.Y.: Rouge: a package for automatic evaluation of summaries. In: MarieFrancine Moens, S.S. (ed.) Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp. 74\u201381. Association for Computational Linguistics, Barcelona (2004)"},{"issue":"1","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-011-9216-z","volume":"37","author":"E Lloret","year":"2012","unstructured":"Lloret, E., Palomar, M.: Text summarisation in progress: a literature review. Artif. Intell. Rev. 37(1), 1\u201341 (2012)","journal-title":"Artif. Intell. Rev."},{"key":"10_CR10","unstructured":"Mikolov, T., Chen, K., Corrado, G.S., Dean, J.: Efficient estimation of word representations in vector space. CoRR abs\/1301.3781 (2013)"},{"key":"10_CR11","unstructured":"Nallapati, R., Zhai, F., Zhou, B.: Summarunner: a recurrent neural network based sequence model for extractive summarization of documents. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, , San Francisco, 4\u20139 February 2017, pp. 3075\u20133081 (2017)"},{"key":"10_CR12","unstructured":"Ozsoy, M.G., Cicekli, I., Alpaslan, F.N.: Text summarization of turkish texts using latent semantic analysis. In: Proceedings of the 23rd International Conference on Computational Linguistics, COLING 2010, pp. 869\u2013876. Association for Computational Linguistics, Stroudsburg (2010). \nhttp:\/\/dl.acm.org\/citation.cfm?id=1873781.1873879"},{"key":"10_CR13","unstructured":"Shen, D., Sun, J.T., Li, H., Yang, Q., Chen, Z.: Document summarization using conditional random fields. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI 2007, pp. 2862\u20132867 (2007)"},{"key":"10_CR14","doi-asserted-by":"publisher","DOI":"10.1002\/9781119992691","volume-title":"Spoken Language Understanding: Systems for Extracting Semantic Information from Speech","author":"G Tur","year":"2011","unstructured":"Tur, G., De Mori, R.: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech. Wiley, New York (2011)"}],"container-title":["Lecture Notes in Computer Science","Speech and Computer"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99579-3_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T03:40:05Z","timestamp":1535082005000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99579-3_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319995786","9783319995793"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99579-3_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}