The identification of important concepts in highly structured technical papers
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Supporting CSCL with automatic corpus analysis technology
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Improving extractive dialogue summarization by utilizing human feedback
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Quality versus quantity: e-mail-centric task management and its relation with overload
Human-Computer Interaction
An interactive tool for supporting error analysis for text mining
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
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In this type-II demo, we introduce SIDE (the Summarization Integrated Development Environment), an infrastructure that facilitates construction of summaries tailored to the needs of the user. It aims to address the issue that there is no such thing as the perfect summary for all purposes. Rather, the quality of a summary is subjective, task dependent, and possibly specific to a user. The SIDE framework allows users flexibility in determining what they find more useful in a summary, both in terms of structure and content. As an educational tool, it has been successfully user tested by a class of 21 students in a graduate course on Summarization and Personal Information Management.