LING 573 - Natural Language Processing Systems and Applications
Spring 2015
Readings

• Bollegala, D., Okazaki, N., and Ishizuka, M. (2012) A preference learning approach to sentence ordering for multi-document summarization. Information Sciences, Volume 217, pp. 78-95.
• Conroy, J. amd O'Leary, D. (2000) Text Summarization via Hidden Markov Models and Pivoted QR Matrix Decomposition. Tech Report. University of Maryland, College Park, March 2001.
• Conroy, J., Schlesinger, J., Goldstein, J., and O'Leary, D. (2004) Left-Brain/Right-Brain Multi-Document Summarization in Proceedings of DUC 2004.
• Conroy, J., Schlesinger, J. and O'Leary, D. (2007) CLASSY 2007 at DUC 2007, in Proceedings of DUC 2007.
• Conroy, J., Schlesinger, J. and Stewart, J. (2005) CLASSY Query-Based Multi-Document Summarization , in Proceedings of DUC 2005.
• Erkan, G. and Radev, D. (2004).Lexrank: graph-based lexical centrality as salience in text summarization. J. Artificial Intelligence Research, 22(1):457-479.
• Hong, K. and Nenkova, A. (2014) Improving the estimation of word importance for news multi-document summarization, in Proceedings of EACL.
• Lin, C. -Y. (2004). ROUGE: A package for automatic evaluation of summaries. In Proceedings of the ACL-04, 2004 (pp. 74-81).
• Louis, A., Joshi, A., and Nenkova, A. (2010) Discourse indicators for content selection in summarization. in Proceedings of SIGDial 2010.
• Luhn, H.P. (1958) "The automatic creation of literature abstracts", IBM Journal of Research and Development, 2 (2), pp. 159-165 (Reprinted in Mani and Maybury (1999))
• Nenkova, A., Passonneau, R., and McKeown, K. R. (2007). The pyramid method: Incorporating human content selection variation in summarization evaluation. ACM TSLP, 4(2).
• Otterbacher, J., Erkan, G., and Radev, D. (2005) Using Random Walks for Question-focused Sentence Retrieval, in Proceedings of HLT-EMNLP 2005.
• Passonneau, R. J. et al. (2005). Applying the Pyramid method in DUC 2005. In Proceedings of the document understanding workshop (DUC) 2005 (pp. 25-32).
• Radev, D., Blair-Goldensohn, S., and Zhang, Z. (2001). Experiments in single and multi-document summarization using MEAD. In DUC-01, New Orleans, LA.
• Radev, D., Jing, H., Stys, M., and Tam, D. (2004) Centroid-based summarization of multiple documents, Information Processing and Management, Volume 40, Issue 6, pp. 919-938.
• Schilder, F. and Kondadadi, R. (2008) FastSum: Fast and Accurate Query-based Multi-document Summarization , in Proceedings of ACL-2008.
• Sparck Jones, K. (2007) Automatic summarising: the state of the art, Information Processing & Management Volume 43, Issue 6, pp. 1449-1481 (November)

Information Ordering

• Barzilay, R. , Elhadad, N., and McKeown, K. R. (2002). Inferring strategies for sentence ordering in multidocument news summarization. Journal of Artificial Intelligence Research, 17, 35-55.
• Barzilay, R. and Lapata, M. (2005). Modeling local coherence: an entity-based approach. In ACL-05, pp. 141-148.
• Barzilay, R. and Lapata, M. (2008). Modeling local coherence: an entity-based approach. Computational Linguistics 34(1).
• Barzilay, R. and Lee, L. (2004). Catching the drift: Probabilistic content models, with applications to generation and summarization. In HLT-NAACL-04, pp. 113-120.

Content Realization

• Barzilay, R. and McKeown, K. R. (2005). Sentence fusion for multidocument news summarization. Computational Linguistics, 31(3), 297-328.
• Conroy, J. M., Schlesinger, J. D., and Goldstein, J. (2006). Classy tasked based summarization: Back to basics. In DUC- 06.
• Nenkova, A. and McKeown, K. R. (2003). References to named entities: a corpus study. In HLT-NAACL-03, pp. 70-72.
• Nenkova, A. (2008) Entity-driven Rewrite for Multi-document Summarization. in Proceedings of IJCNLP 2008.
• Vanderwende, L., Suzuki, H., Brockett, C., and Nenkova, A. (2007a). Beyond sumbasic: Task-focused summarization with sentence simplification and lexical expansion. Information Processing and Management, 43(6), 1606-1618.
• Zajic, D., Dorr, B., Lin, J., and Schwartz, R. (2007). Multicandidate reduction: Sentence compression as a tool for document summarization tasks. Information Processing and Management, 43(6), 1549-1570.