Meeting adjourned: off-line learning interfaces for automatic meeting understanding Export

@inproceedings{citeulike:4818687, abstract = {Upcoming technologies will automatically identify and extract certain types of general information from meetings, such as topics and the tasks people agree to do. We explore interfaces for presenting this information to users after a meeting is completed, using two post-meeting interfaces that display information from topics and action items respectively. These interfaces also provide an excellent forum for obtaining user feedback about the performance of classification algorithms, allowing the system to learn and improve with time. We describe how we manage the delicate balance of obtaining necessary feedback without overburdening users. We also evaluate the effectiveness of feedback from one interface on improvement of future action item detection.}, address = {New York, NY, USA}, author = {Ehlen, Patrick and Purver, Matthew and Niekrasz, John and Lee, Kari and Peters, Stanley}, booktitle = {IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces}, citeulike-article-id = {4818687}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1378810}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1378773.1378810}, doi = {10.1145/1378773.1378810}, isbn = {978-1-59593-987-6}, keywords = {machine-learning, multiparty}, location = {Gran Canaria, Spain}, pages = {276--284}, posted-at = {2009-06-12 02:47:18}, priority = {2}, publisher = {ACM}, title = {Meeting adjourned: off-line learning interfaces for automatic meeting understanding}, url = {http://dx.doi.org/10.1145/1378773.1378810}, year = {2008} }

TY - CONF ID - citeulike:4818687 L3 - citeulike-article-id:4818687 N2 - Upcoming technologies will automatically identify and extract certain types of general information from meetings, such as topics and the tasks people agree to do. We explore interfaces for presenting this information to users after a meeting is completed, using two post-meeting interfaces that display information from topics and action items respectively. These interfaces also provide an excellent forum for obtaining user feedback about the performance of classification algorithms, allowing the system to learn and improve with time. We describe how we manage the delicate balance of obtaining necessary feedback without overburdening users. We also evaluate the effectiveness of feedback from one interface on improvement of future action item detection. CY - Gran Canaria, Spain SN - 978-1-59593-987-6 AD - New York, NY, USA EP - 284 TI - Meeting adjourned: off-line learning interfaces for automatic meeting understanding PB - ACM T2 - IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces SP - 276 KW - machine-learning KW - multiparty AU - Ehlen, Patrick AU - Purver, Matthew AU - Niekrasz, John AU - Lee, Kari AU - Peters, Stanley PY - 2008/// UR - http://dx.doi.org/10.1145/1378773.1378810 ER -