Summarization Group

 

 

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                                                                 Conversation Summarization

 

 

 

One of the primary goals of this research group is to develop automatic tools that can generate summaries of human conversations like meetings, chats, emails, blogs, fora, etc. To this end, this group conducts research on discourse analysis, sentiment analysis, domain adaptation, extractive and abstractive summarization of human conversations.  

Related Publications:

[27] Giuseppe Carenini and Gabriel Murray and Raymond Ng, Methods for Mining and Summarizing Text Conversations, Morgan Claypool, to appear, 2011.

[26] Shafiq Joty, Giuseppe Carenini, Chin-Yew Lin. Unsupervised Modeling of Dialog Acts in Asynchronous Conversations. In Proceedings of the twenty second International Joint Conference on Artificial Intelligence (IJCAI) 2011. Barcelona, Spain.

[25] Shafiq Joty, Giuseppe Carenini, Gabriel Murray and Raymond Ng. Supervised Topic Segmentation of Email Conversations. In Fifth International AAAI Conference on Weblogs and Social Media (ICWSM) 2011, Barcelona, Spain, AAAI. (short paper).

[24] Shafiq Joty, Giuseppe Carenini, Gabriel Murray and Raymond Ng. Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), MIT, Massachusetts, USA.

[23] Murray G., Carenini G., Ng R., Generating Abstracts of Meeting Conversations: A User Study. International Conference on Natural Language Generation, (INLG, 2010).

[22] Murray G. , Carenini G., Ng R., Interpretation and Transformation for Abstracting Conversations. The 11th Annual Conf. of the North American Chpt. of the Association for Comp. Linguistics (NAACL-10), Los Angeles, USA, June 16, 2010.

[21] Murray G. and Carenini G., The Impact of ASR on Abstractive vs. Extractive Meeting Summaries, 11th Annual Conference of the International Speech Communication Association, Makuari, Japan, 2010. (Interspeech 2010)

[20] Murray G. and Carenini G., Subjectivity Detection in Spoken and Written Conversations,  Journal of Natural Language Engineering, to appear, 2010.

[19] Sandu O., Carenini G., Murray G., Ng R., Adaptation to Summarize Human Conversations ACL-Domain Adaptation in NLP (DANLP-10) workshop, Sweden, July 2010.

[18] Sandu O., Carenini G., Murray G., Ng R., Domain Adaptation for Summarization of Conversations, The Pacific Northwest Regional NLP Workshop (NW-NLP), 2010 (extended abstract), Feb 2010.

[17] 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.

[16] 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.

[15] Carenini G., Murray G., Visual Structured Summaries of Human Conversations. First International Workshop on Intelligent Visual Interfaces for Text Analysis. At IUI 10, 4 pages, HK, 2010.

[14] Shafiq Joty, Giuseppe Carenini, Gabriel Murray and Raymond Ng. (Apr, 2010) Exploiting Conversation Features for Finding Topics in Emails The Pacific Northwest Regional NLP Workshop (NW-NLP 2010), Microsoft Research, Redmond.

[13] Murray G. and Carenini G., Detecting Subjectivity in Multiparty Speech, 10th Annual Conference of the International Speech Communication Association, Brighton, UK, 2009.

[12] Murray G. and Carenini G., Predicting Subjectivity in Multimodal Conversations. Empirical Methods in NLP (EMNLP 2009), Singapore, 2009.

[11] Yllias Chali and Sadid Hasan, Shafiq Joty. Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering? In Proceedings of the ACL-IJCNLP 2009.  Singapore, August, 2009, ACL.

[10] Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Raymond Ng. Regression-Based Summarization of Email Conversations. 3rd Int'l AAAI Conference on Weblogs and Social Media (ICWSM-09) (Poster).

[9] Yllias Chali and Shafiq Joty and Sadid Hasan. Complex Question Answering: Unsupervised Learning Approaches and Experiments. Journal of AI Research (JAIR). Vol 35, page 1-47.

[8] Joty S., Carenini G., Murray G., Ng R., Finding Topics in Emails: Is LDA Enough? - NIPS '09 workshop on Applications for Topic Models: Text and Beyond.

[7] Murray G. and Carenini G., Summarizing Spoken and Written Conversations. Empirical Methods in NLP (EMNLP 2008), Waikiki, Hawaii, 2008.

[6] Carenini G and Ng R. and Zhou X.,  Summarizing Emails with Conversational Cohesion and Subjectivity, The 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT 2008), Columbus, Ohio, USA,  2008.

[5] G. Murray and T. Kleinbauer and P. Poller and S. Renals and T. Becker and J. Kilgour, Extrinsic Summarization Evaluation: A Decision Audit Task, , MLMI 2008, Special Session on User Requirements and Evaluation, Utrecht, Netherlands, 2008.

[4] G. Murray and S. Renals, Meta Comments for Summarizing Meeting Speech,  MLMI 2008, Utrecht, Netherlands, 2008.

[3] J. Ulrich and G. Murray and G. Carenini, A Publicly Available Annotated Corpus for Supervised Email Summarization,  EMAIL-2008 Workshop, AAAI, Chicago, USA, 2008.

[2] G. Murray and S. Renals, Detecting Action Items in Meetings,  MLMI 2008, Utrecht, Netherlands, 2008.

[1] Gabriel Murray and Shafiq Joty and Giuseppe Carenini and Raymond Ng. The University of British Columbia at TAC 2008. In Proceedings of the Text Analysis Conference (TAC 2008), Rochester, NY, November, 2008, NIST.