• 沒有找到結果。

[Alguliev et al., 2011] R. M.Alguliev, R. M.Aliguliyev, M. S. Hajirahimova, and C.

A.Mehdiyev, “MCMR: Maximum coverage and minimum redundant text summarization model,” Expert Systems with Applications, vol. 38, no. 12, pp.

14514-14522, 2011.

[Alguliev et al., 2013] R. M Alguliev, R. M Aluguliyev, and N. R Isazade, “Multiple documents summarization based on evolutionary optimization algorithm,” Expert

Systems with Applications, vol. 40, no. 5, pp. 1675-1689, 2013.

[Allahyari and Kochut, 2015] M. Allahyari and K. Kochut, “Automatic Topic Labeling Using Ontology-Based Topic Models,” In Proc. IEEE International Conference on Machine Learning and Applications (ICMLA) ’14, 2015.

[Allahyari and Kochut, 2016a] M. Allahyari and K. Kochut, “Discovering Coherent Topics with Entity Topic Models,” In Proc. IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2016, pp. 26-33.

[Allahyari and Kochut, 2016b] M. Allahyari and K. Kochut, “Semantic Context-Aware Recommendation via Topic Models Leveraging Linked Open Data,” In Proc.

International Conference on Web Information Systems Engineering, 2016, pp.

263-277.

[Allahyari and Kochut, 2016c] M. Allahyari and K. Kochut, “Semantic Tagging Using Topic Models Exploiting Wikipedia Category Network,” In Proc. IEEE International Conference on Semantic Computing (ICSC) ’10, 2016, pp. 63-70.

[Allahyari et al., 2017] M. Allahyari, S. Pouriyeh, M. Assefi, S. Safaei, E. D. Trippe, J.

B. Gutierrez, and K. Kochut, “Text Summarization Techniques: A Brief Survey,”

International Journal of Advanced Computer Science and Applications(IJACSA),

vol. 8, no. 10, 2017.

[Bahdanau et al., 2015] D. Bahdanau, K. Cho, and Y. Bengio, “Neural Machine Translation by Jointly Learning to Align and Translate,” In Proc. International Conference on Learning Representations (ICLR), 2015.

[Bengio et al., 2003] Y. Bengio, R. Ducharme, P. Vincent, and C. Jauvin, “A Neural Probabilistic Language Model,” Journal of machine learning research, vol. 3, pp.

1137-1155, Feb 2003.

[Bojanowski et al., 2017] P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov,

“Enriching Word Vectors with Subword Information,” Transactions of the

Association for Computational Linguistics, vol. 5, pp.135-146, 2017.

[Celikyilmaz and Hakkani-Tur, 2010] A. Celikyilmaz and D. Hakkani-Tur, “A Hybrid Hierarchical Model for Multi-Document Summarization,” In Proc. the 48th Annual Meeting of the Association for Computational Linguistics, 2010, pp. 9-12.

[Chali and Joty, 2008] Y. Chali and S. R. Joty, “Improving the Performance of the Random Walk Model for Answering Complex Questions,” In Proc. ACL-08: HLT, 2008, pp. 9-12.

[Chen et al., 2004] B. Chen, J.-W. Kuo, and W.-H. Tsai, “Lightly Supervised and Data-Driven Approaches to Mandarin Broadcast News Transcription,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.

[Chen et al., 2005] B. Chen, J.-W. Kuo, and W.-H. Tsai, “Lightly Supervised and Data-Driven Approaches to Mandarin Broadcast News Transcription,” International

Journal of Computational Linguistics and Chinese Language Processing, vol. 10,

no. 1, pp. 1-18, March 2005.

[Chen et al., 2015] X. Chen, L. Xu, Z. Liu, M. Sun, and H. Luan, “Joint Learning of Character and Word Embeddings,” In Proc. the 24th International Conference on Artificial Intelligence(IJCAI), 2015, pp. 1236-1242.

[Chen et al., 2016] Q. Chen, X. Zhu, Z. Ling, S. Wei, and H. Jiang, “Distraction-based neural networks for modeling documents,” In Proc. the Twenty-Fifth International Joint Conference on Artificial Intelligence(IJCAI), 2016, pp. 2754-2760.

[Cheng & Lapata, 2016] J. Cheng and M. Lapata, “Neural Summarization by Extracting Sentences and Words,” In Proc. the 54th Annual Meeting of the Association for Computational Linguistics, 2016, pp. 484-494.

[Chien, 2015] J.-T. Chien, “Hierarchical Pitman-Yor-Dirchlet Language Model,”

IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no.

8, pp. 1259-1272, 2015.

[Cho et al., 2014] K. Cho, B. Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H.

Schwenk, and Y. Bengio, “Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation,” In Proc. the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp. 1724-1734.

[Chopra et al., 2016] S. Chopra, M. Auli, and A. M. Rush, “Abstractive Sentence Summarization with Attentive Recurrent Neural Networks,” In Proc. NAACL-HLT, 2016, pp. 93-98.

[Chua and Asur, 2013] F. C. T. Chua and S. Asur, ”Automatic Summarization of Events from Social Media,” In Proc. International AAAI Conference on Web and Social Media(ICWSM), 2013.

[Climenson et al., 1961] W. D. Climenson, N. H. Hardwick, and S. N. Jacobson

“Automatic syntax analysis in machine indexing and abstracting,” American

Documentation, vol. 12, no. 3, pp.178-183, 1961.

[Collobort et al., 2011] R. Collobort, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, “Natural Language Processing (Almost) from Scratch,” Journal of

Machine Learning Research, vol. 12, pp. 2493-2537, 2011.

[Conroy and O’leary, 2001] J. M. Controy and D. P. O’leary, “Text summarization via hidden Markov models,” In Proc. the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001, pp. 406-407.

[Dang, 2008] H. T. Dang(ed.), NIST: Proceedings of the Text Analysis Conference, NIST, Gaithesburg, 2008.

[Daume and Marcu, 2006] H. Daumé III and D. Marcu, “Bayesian Query-Focused Summarization,” In Proc. the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, 2006, pp. 305-312.

[Deerwester et al., 1998] S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman, “Indexing by latent semantic analysis,” Journal of the

American Society for Information Science, vol. 41, no. 6, pp. 391-407, 1990.

[Dunning, 1993] T. Dunning, “Accurate Methods for the Statistics of Surprise and Coincidence,” Computational Linguistics, vol. 19, no. 1, pp. 61-74, 1993.

[Edmundson, 1969] H. P. Edmundson, “New Methods in Automatic Extracting,”

Journal of Association for Computing Machinery, vol. 16, no. 2, pp. 264-285,

1969.

[Erkan and Radev, 2004] G. Erkan and D. R Radev, “LexRank: Graph-based Lexical Centrality as Salience in Text Summarization,” Journal of Artificial Intelligence

Research(JAIR), vol. 22, no. 1, pp. 457-479, 2011.

[Gong and Liu, 2001] Y. Gong and X. Liu, “Generic Text Summarization Using Relevance Measure and Latent Semantic Analysis,” In Proc. the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001, pp. 19-25.

[Hannon et al., 2011] J. Hannon, K. McCarthy, J. Lynch, and B. Smyth, “Personalized and Automatic Social Summarization of Events in Video,” In Proc. the 16th international conference on Intelligent user interfaces, 2011, pp. 335-338.

[Hirohata et al., 2005] M. Hirohata, Y. Shinnaka, K. Iwano, and S. Furui, “Sentence Extraction-based presentation summarization techniques and evaluation metrics,”

In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

[Hochreiter & Schmidhuber, 1997] S. Hochreiter and J. Schmidhuber, “Long Short-Term Memory,” Neural Computation, vol. 9, no. 8, pp. 1735-1780, 1997.

[Hori et al., 2004] C. Hori, T. Hirao, and H. Isozaki, “Evaluation Measure Considering Sentence Concatenation for Automatic Summarization by Sentence or Word Extraction,” Text Summarization Branches Out, 2004, pp. 82-88.

[Huang & Wu, 2007] C.-L. Huang and C.-H. Wu, “Spoken Document Retrieval Using Multilevel Knowledge and Semantic Verification,” IEEE/ACM Transactions on

Audio, Speech, and Language Processing, vol. 15, no. 8, pp. 2551-2590, 2007.

[Jean et al., 2014] S. Jean, K. Cho, R. Memisevic, and Y. Bengio “On Using Very Large Target Vocabulary for Neural Machine Translation,” In Proc. the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, 2014, pp. 1-10.

[Kalchbrenner et al., 2014] N. Kalchbrenner, E. Grefenstette, and P. Blunsom, “A Convolutional Neural Network for Modeling Sentences,” in Proc. the 52nd Annual Meeting of the Association for Computational Linguistics, 2014, pp.

655-665.

[Kim et al., 2016] Y. Kim, Y. Jernite, D. Sontag, and A. M. Rush, “Character-Aware Neural Language Models,” In Proc. the Thirtieth AAAI Conference on Artificial Intelligence, 2016, pp. 2741-2749.

[Kim, 2014] Y. Kim, “Convolutional neural networks for sentence classification,” In Proc. the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, pp. 1746-1751.

[Kupiec et al., 1995] J. Kupiec, J. Pedersen, and F. Chen, “A Trainable Document Summarizer,” In Proc. the 18th annual international ACM SIGIR conference on Research and development in information retrieval, 1995, pp. 68-73.

[Lei et al., 2015] T. Lei, R. Batzilay, and T. Jaakkola, “Molding CNNs for text: non-linear, non-consecutive convolutions,” In Proc. the 2015 Conference on Empirical Methods in Natural Language Processing, 2015, pp. 1565-1575.

[Lin, 2004] C.-Y. Lin, “ROUGE: a Package for Automatic Evaluation of Summaries,”

In Proc. the Workshop on Text Summarization Branches Out (WAS 2004), 2004.

[Liu and Hakkani-Tür, 2011] Y. Liu and D. Hakkani-Tür, “Speech Summarization,” in

Spoken Language Understanding Systems for Extracting Semantic Information from Speech, G. Tur and R. D. Mori, Eds. John Wiley & Sons, 2011, pp. 357-396.

[Liu et al., 2006] Y. Liu, E. Shriberg, A. Stolcke, D. Hillard, M. Ostendorf, and M.

Harper, “Enriching Speech Recognition with Automatic Detection of Sentence Boundaries and Disfluencies,” IEEE Transactions on audio, speech, and language

processing, vol. 14, no. 5, pp. 1526-1540, Sept. 2006.

[Liu et al., 2015] S.-H. Liu, K.-Y. Chen, B. Chen, H.-M. Wang, H.-C. Yen, and W.-L.

Hsu, “Combining Relevance Language Modeling and Clarity Measure for

Extractive Speech Summarization,” IEEE/ACM Transactions on Audio, Speech,

and Language Processing, vol. 23, no. 6, pp. 957-969, 2015.

[Luhn, 1958] H. P. Luhn, “The automatic creation of literature abstracts,” IBM Journal

of research and development, vol. 2, no. 2, pp. 159-165, 1958.

[Mani et al., 2002] I. Mani, G. Klein, D. House, L. Hirschman, T. Firmin, and B.

Sundheim, “SUMMAC: a text summarization evaluation,” Natural Language

Engineering, vol. 8, pp. 43–68, 2002.

[Mihalcea and Tarau, 2004] R. Mihalcea and P. Tarau, “TextRank: Bringing Order into Texts,” In Proc. the 2004 Conference on Empirical Methods in Natural Language Processing, 2004, pp. 404-411.

[Mihalcea and Tarau, 2005] R. Mihalcea and P. Tarau, “A Language Independent Algorithm for Single and Multiple Document Summarization,” In Proc. IJCNLP, 2005.

[Na et al., 2014] L. Na, L. Ming-xia, L. Ying, T. Xiao-jun, W. Hai-wen, and X. Peng

“Mixture of topic model for multi-document summarization,” In Proc. The 26th Chinese Control and Decision Conference (2014 CCDC), 2014, pp. 5168-5172.

[Nallapati et al., 2016] R. Nallapati, B. Zhou, C. Santos, C. Gùlçehre, and B. Xiang,

“Abstractive Text Summarization using Sequence-to-sequence RNNs and beyond,”

in Proc. the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2016, pp. 280-290.

[Nallapati et al., 2017] R. Nallapati, F. Zhai, and B. Zhou, “SummaRuNNer: A recurrent neural network based sequence model for extractive summarization of documents,”

in Proc. the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017, pp. 3075-3081.

[Narayan et al., 2017] S. Narayan, N. Papasarantopoulos, M. Lapata, and S. B. Cohen,

“Neural extractive summarization with side information,” CoRR abs/1704.04530, 2017.

[Narayan et al., 2018a] S. Narayan, S. B. Cohen, and M. Lapata, “Ranking Sentences for Extractice Summarization with Reinforcement Learning,” In Proc. NAACL-HLT, 2018, pp. 1747-1759.

[Narayan et al., 2018b] S. Narayan, R. Cardenas, N. Papasarantopoulos, S. B. Cohen, M. Lapata, J. Yu, and Y. Chang, “Document Modeling with External Attention for Sentence Extraction,” In Proc. the 56th Annual Meeting of the Association for Computational Linguistics, 2018, vol. 1, pp. 2020-2030.

[Nenkova and McKeown, 2012] A. Nenkova and K. McKeown, “A survey of text summarization techniques,” in Mining Text Data, C. C. Aggarwal, C. X. Zhai, Eds.

Springer, 2012, pp. 43-76.

[Over et al., 2007] P. Over, H. Dang, and D. Harman. 2007. DUC in Context. Inf. Process.

Manage. 43, 6 (Nov. 2007), 1506–1520.

[Papineni et al., 2002] K. Papineni, S. Roukos, T. Ward, and W. J. Zhu, “BLEU: a method for automatic evaluation of machine translation,”. In Proc. the 40th Annual meeting of the Association for Computational Linguistics, 2002, pp. 311–

318.

[Paulus et al., 2017] R. Paulus, C. Xiong, and R. Socher, “A deep reinforced model for abstractive summarization,” CoRR abs/1705.04304, 2017.

[Pollock et al., 1975] J. J. Pollock and A. Zamora, “Automatic abstracting research at chemical abstracts service,” Journal of Chemical Information and Computer

Sciences, vol. 15, no. 4, 1975.

[Radev et al., 2004] D. R Radev, H. Jing, M. Styś, and D. Tam, “Centroid-based summarization of multiple documents,” Information Processing & Management, vol. 40, no. 6, pp. 919-938, 2004.

[Ren et al., 2013] Z. Ren, S. Liang, E. Meji, and M. Rijke, “Personalized time-aware tweets summarization,” In Proc. the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013, pp. 513-522.

[Ren et al., 2017] P. Ren, Z. Chen, Z. Ren, F. Wei, J. Ma, and M. Rijke, “Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model,” in Proc. the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017, pp. 95-104.

[Rush et al., 2015] A. M. Rush, S. Chopra, and J. Weston, “A neural attention model for abstractive sentence summarization,” in Proc. the 2015 Conference on Empirical Methods in Natural Language Processing, 2015, pp. 379-389.

[Saggion & Poibeau, 2013] H. Saggion and T. Poibeau, “Automatic text summarization:

Past, present and future,” in Multi-source, Multilingual Information Extraction

and Summarization, T. Poibeau, H. Saggion, J. Piskorski, and R. Yangarber, Eds.

Springer, 2013, pp. 3–21.

[Salton et al., 1997] G. Salton, A. Singhal, M. Mitra, and C. Buckley, “Automatic text structuring and summarization,” Information process and management, vol. 33, no. 2, pp. 193-207, 1997.

[See et al., 2017] A. See, P. J. Liu, and C. D. Manning, “Get to the point: Summarization with pointer-generator networks,” in Proc. the 55th Annual Meeting of the Association for Computational Linguistics, 2017, pp. 1073-1083.

[Shen et al., 2007] D. Shen, J.-T. Sun, H. Li, Q. Yang, and Z. Chen, “Document summarization using conditional random fields,” In Proc. the 20th international joint conference on Artifical intelligence, 2007, pp. 2862-2867.

[Steinberger et al., 2007] J. Steinberger, M. Poesio, M. A Kabadjov, and K. Jezek, “Two uses of anaphora resolution in summarization,” Information Processing &

Management, vol. 43, no. 6, pp. 1663-1680, 2007.

[Sutskever et al., 2014] I. Sutskever, O. Vinyals, and Q. V. Le, “Sequence to sequence learning with neural networks,” Advances in Neural Information Processing

Systems , vol. 27, pp. 3104-3112, 2014.

[Sutton & Barto, 1998] R. S. Sutton and A. G. Barto, “Reinforcement Learning: An Introduction,” MIT Press, 1998.

[Takeshita et al., 1997] A. Takeshita, T. Inoue, K. Tanaka, “Topic-based multimedia structuring,” in Intelligent multimedia information retrieval, M. Maybury Eds..

Cambridge, MA: AAAI/MIT press, 1997.

[Tan & Wan, 2017] J. Tan and X. Wan, “Abstractive document summarization with a graph-based attentional neural model,” in Proc. the 55th Annual Meeting of the Association for Computational Linguistics, 2017, pp. 1171-1181.

[Tax, 2001] D. Tax, “One-Class Classification; Concept-Learning In The Absence Of Counter-Examples,” Technische Universiteit Delft, 2001.

[Torres-Moreno, 2014] J. M. Torres-Moreno, Eds., Automatic text summarization, John Wiley & Sons, 2014.

[Tsai et al., 2016] C.-I Tsai, H.-T. Hung, K.-Y. Chen, and B. Chen, “Extractive Speech Summarization Leveraging Convolutional Neural Network Techniques,” IEEE

Spoken Language Technology Workshop (SLT), 2016.

[Vanderwende et al., 2007] L. Vanderwende, H. Suzuki, C. Brockett, and A. Nenkova,

“Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion” Information Processing & Management, vol. 43, no. 6, pp.

1606-1618, 2007.

[vanDijk, 1980] T. A. van Dijk, Eds., Macrostructures: An interdisciplinary study of

global structures in discourse, interaction, and cognition. Lawrence Erlbaum,

Hillsdale, NJ 1980.

[Vinyals et al., 2015] O. Vinyals, M. Fortunato, and N. Jaitly, “Pointer Networks,”

Advances in Neural Information Processing Systems, vol. 28, 2015.

[Wan and Yang, 2008] X. Wan and J. Yang, “Multi-document summarization using cluster-based link analysis” In Proc. the 31st annual international ACM SIGIR conference on Research and development in information retrieval, 2008, pp. 299-306.

[Wang et al., 2005] H.-M. Wang, B. Chen, J.-W. Kuo, and S.-S. Cheng, “MATBN: A Mandarin Chinese Broadcast News Corpus,” International Journal of

Computational Linguistics & Chinese Language Processing, vol. 10, no. 2, pp.

219-236, 2005.

[Wang et al., 2009] D. Wang, S. Zhu, T. Li, and Y. Gong, “Multi-Document summarization using sentence-based topic models,” In Proc. the ACL-IJCNLP, 2009, pp. 297-300.

[Yih et al., 2007] W. Yih, J. Goodman, L. Vanderwende, and H. Suzuki, “Multi-Document Summarization by Maximizing Informative Content-Words,” In Proc.

the 20th International Joint Conference on Artificial Intelligence, 2007.

[Zhang et al., 2015] X. Zhang, J. Zhao, and Y. Lecun, “Character-level convolutional networks for text classification,” Advances in Neural Information Processing

Systems 28, pp. 649-657, 2015.

[Zhou et al., 2017] Q. Zhou, N. Yang, F. Wei, and M. Zhou, “Selective Encoding for Abstractive Sentence Summarization,” in Proc. the 55th Annual Meeting of the Association for Computational Linguistics, 2017, pp. 1095-1104.

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