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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 2 Graphs, Computation, and Language ... Ustalov, Dmitry. - : Zenodo, 2021 BASE Show details 3 A Probabilistic Approach to Syntactic Variation in Biblical Hebrew ... Bijl, Etienne P. Van De; Kingham, Cody; Peursen, Wido Van. - : Zenodo, 2019 BASE Show details 4 A Probabilistic Approach to Syntactic Variation in Biblical Hebrew ... Bijl, Etienne P. Van De; Kingham, Cody; Peursen, Wido Van. - : Zenodo, 2019 BASE Show details 5 Speaker verification using excitation source information Prasanna, S. R. Mahadeva; Pati, Debadatta In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 15 (2012) 2, 241-257 BLLDB OLC Linguistik Show details 6 A probabilistic interaction model for multipitch tracking with factorial hidden Markov models Stark, Michael; Pernkopf, Franz; Wohlmayr, Michael In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 4, 799-810 BLLDB OLC Linguistik Show details 7 Characterizing Deletion Transformations across Dialects using a Sophisticated Tying Mechanism Chen, Nancy F; Shen, Wade; Campbell, Joseph P In: DTIC (2011) BASE Show details 8 Super-human multi-talker speech recognition: a graphical modeling approach Rennie, Steven J.; Kristjansson, Trausti T.; Olsen, Peder A.... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 1, 45-66 BLLDB OLC Linguistik Show details 9 Modeling and interpolation of Austrian German and Viennese dialect in HMM-based speech synthesis Pucher, Michael; Strom, Volker; Neubarth, Friedrich... In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 2, 164-179 BLLDB OLC Linguistik Show details 10 Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm Nock, Richard; Vaillant, Pascal; Nielsen, Frank... In: ECAI 2006: 17th European Conference on Artificial Intelligence ; 17th European Conference on Artificial Intelligence (ECAI 2006) ; https://hal.archives-ouvertes.fr/hal-00327782 ; 17th European Conference on Artificial Intelligence (ECAI 2006), Aug 2006, Riva del Garda, Italy. ISBN 1-58603-642-3, p. 823-824 (2006) BASE Show details 11 Speaker Segmentation and Clustering Using Gender Information Ore, Brian M.; Slyh, Raymond E.; Hansen, Eric G. In: DTIC (2006) BASE Show details 12 Analysis of a Synonymy Network EPFL IC Faculty Internal David Gfeller; Paolo De; Los Rios In: http://liawww.epfl.ch/Publications/Archive/Gfeller2004.pdf (2004) BASE Show details 13 Audio Indexing Using Speaker Identification Lynn Wilcox; Don Kimber; Francine Chen In: http://www.parc.xerox.com/istl/members/kimber/papers/kimber/Audio_Index.ps (1994) BASE Show details 14 Research on Narrowband Communications. Roucos,Salim; Schwartz,Richard; Makhoul,John In: DTIC AND NTIS (1982) BASE Show details 15 Research on Narrowband Communications Makhoul, John; Roukos, Salim; Krasner, Micheal... In: DTIC AND NTIS (1981) BASE Show details 16 Research on Narrowband Communications Makhoul, John; Roukos, Salim; Schwartz, Richard In: DTIC AND NTIS (1980) BASE Show details 17 APPLICATION OF RHETORICAL RELATIONS BETWEEN SENTENCES TO CLUSTER-BASED TEXT SUMMARIZATION N. Adilah; Hanin Zahri; Fumiyo Fukumoto; Matsyoshi Suguru; Ong Bi Lynn In: http://airccj.org/CSCP/vol5/csit53307.pdf Abstract: Many of previous research have proven that the usage of rhetorical relations is capable to enhance many applications such as text summarization, question answering and natural language generation. This work proposes an approach that expands the benefit of rhetorical relations to address redundancy problem in text summarization. We first examined and redefined the type of rhetorical relations that is useful to retrieve sentences with identical content and performed the identification of those relations using SVMs. By exploiting the rhetorical relations exist between sentences, we generate clusters of similar sentences from document sets. Then, cluster-based text summarization is performed using Conditional Markov Random Walk Model to measure the saliency scores of candidates summary. We evaluated our method by measuring the cohesion and separation of the clusters and ROUGE score of generated summaries. The experimental result shows that our method performed well which shows promising potential of applying rhetorical relation in cluster-based text summarization. Keyword: Extractive Text Summarization; Markov Random Walk Model; Probability Model; Support Vector Machine; Text Clustering URL: http://airccj.org/CSCP/vol5/csit53307.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.3333 BASE Hide details

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