-
1
-
-
44849095902
-
Improving lecture speech summarization using rhetorical information
-
J.J. Zhang, H.Y. Chan, and P. Fung, "Improving lecture speech summarization using rhetorical information," ASRU2007, pp. 195-200, 2007.
-
(2007)
ASRU2007
, pp. 195-200
-
-
Zhang, J.J.1
Chan, H.Y.2
Fung, P.3
-
2
-
-
0040078056
-
Summarizing scientific articles: Experiments with relevance and rhetorical status
-
S. Teufel and M. Moens, "Summarizing scientific articles: experiments with relevance and rhetorical status," Computational Linguistics, vol. 28, no. 4, pp. 409-445, 2002.
-
(2002)
Computational Linguistics
, vol.28
, Issue.4
, pp. 409-445
-
-
Teufel, S.1
Moens, M.2
-
3
-
-
84867215960
-
Class Lecture Summarization Taking into Account Consecutiveness of Important Sentences
-
Y. Furui, K. Yamamoto, N. Kitaoka, and S. Nakagawa, "Class Lecture Summarization Taking into Account Consecutiveness of Important Sentences," Proceedings of Interspeech 2008, pp. 2438-2441, 2008.
-
(2008)
Proceedings of Interspeech 2008
, pp. 2438-2441
-
-
Furui, Y.1
Yamamoto, K.2
Kitaoka, N.3
Nakagawa, S.4
-
4
-
-
42949097256
-
One story, one flow: Hidden Markov Story Models for multilingual multidocument summarization
-
P. Fung and G. Ngai, "One story, one flow: Hidden Markov Story Models for multilingual multidocument summarization," ACMTransactions on Speech and Language Processing (TSLP), vol. 3, no. 2, pp. 1-16, 2006.
-
(2006)
ACMTransactions on Speech and Language Processing (TSLP)
, vol.3
, Issue.2
, pp. 1-16
-
-
Fung, P.1
Ngai, G.2
-
5
-
-
85029434098
-
Catching the drift: Probabilistic content models, with applications to generation and summarization
-
R. Barzilay and L. Lee, "Catching the drift: Probabilistic content models, with applications to generation and summarization," Proceedings of HLT-NAACL, pp. 113-120, 2004.
-
(2004)
Proceedings of HLT-NAACL
, pp. 113-120
-
-
Barzilay, R.1
Lee, L.2
-
6
-
-
51449090158
-
Rhetorical-State Hidden Markov Models for Extractive Speech Summarization
-
P. Fung, R. Chan, and J.J Zhang, "Rhetorical-State Hidden Markov Models For Extractive Speech Summarization," ICASSP2008. Proceedings, pp. 4957-4960, 2008.
-
(2008)
ICASSP2008. Proceedings
, pp. 4957-4960
-
-
Fung, P.1
Chan, R.2
Zhang, J.J.3
-
7
-
-
78149415050
-
Discourse structure in spoken language: Studies on speech corpora
-
C.H. Nakatani, J. Hirschberg, and B.J. Grosz, "Discourse structure in spoken language: Studies on speech corpora," AAAI 1995 Spring Symposium Series: Empirical Methods in Discourse Interpretation and Generation, pp. 106-112, 1995.
-
(1995)
AAAI 1995 Spring Symposium Series: Empirical Methods in Discourse Interpretation and Generation
, pp. 106-112
-
-
Nakatani, C.H.1
Hirschberg, J.2
Grosz, B.J.3
-
8
-
-
79951784751
-
Automatic summarization of broadcast news using structural features
-
S. Maskey and J. Hirschberg, "Automatic summarization of broadcast news using structural features," Proceedings of Eurospeech 2003, 2003.
-
(2003)
Proceedings of Eurospeech 2003
-
-
Maskey, S.1
Hirschberg, J.2
-
9
-
-
56149107139
-
Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models
-
YT Chen et al., "Extractive Chinese Spoken Document Summarization Using Probabilistic Ranking Models," Proc. ISCSLP, 2006.
-
Proc. ISCSLP, 2006
-
-
Chen, Y.T.1
-
10
-
-
1942421209
-
Hidden Markov Support Vector Machines
-
Y. Altun, I. Tsochantaridis, and T. Hofmann, "Hidden Markov Support Vector Machines," in Machine Learning-International Workshop Then Conference-, 2003, vol. 20, p. 3.
-
Machine Learning-International Workshop Then Conference-, 2003
, vol.20
, pp. 3
-
-
Altun, Y.1
Tsochantaridis, I.2
Hofmann, T.3
-
12
-
-
84863278742
-
Active Learning of Extractive Reference Summaries for Lecture Speech Summarization
-
J.J. Zhang and P. Fung, "Active Learning of Extractive Reference Summaries for Lecture Speech Summarization," ACL-IJCNLP 2009, p. 23.
-
ACL-IJCNLP 2009
, pp. 23
-
-
Zhang, J.J.1
Fung, P.2
|