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|Understanding and Generating Evaluative Text|
Evaluative texts like customer reviews of different products and services contain useful information for both individuals and corporate managers. Under the supervision of Dr. Giuseppe Carenini, this group builds tool that not only extracts useful information from the review content, but also generates novel text to support the information goal of the user.
 G. Carenini , J. Cheung , A. Pauls. Multi-Document Summarization of Evaluative text, Computational Intelligence, 2011, (to appear).
 G. Carenini and J. Moore, Generating and Evaluating Evaluative Arguments. Artificial Intelligence Journal Vol. 170, Issue 11, August, 2006.
 Carenini G., Ng R., Pauls A. MultiDocument Summarization of Evaluative Text, Proceedings of the 11th European Chapter of the Association for Computational Linguistics (EACL 2006), Trento, Italy, April, 2006.
 Carenini G., Ng R., Zwart E., Extracting Knowledge from Evaluative Text, Third International Conference on Knowledge Capture (KCAP 2005). Banff, Canada. October 2-5, 2005.
 Ali, H., Carenini G., Ng R., Designing a Discourse Parser for the Evaluative Text Genre, The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010 (extended abstract), Feb 2010.
 Fitzgerald N., Carenini G., Ng R., A Complete Pipeline for Semantic Evaluation Summarization, The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010 (extended abstract), Feb 2010
 Cheung J., Carenini G, Ng R., Optimization-based Content Selection for Opinion Summarization, ACL-IJCNLP '09 Workshop on Language Generation and Summarisation (UCNLG+Sum)