CS785 Intelligent Computer Interfaces

Fall 2009

 

List of papers for presentation: first half of the course
 


I - Plan Recognition


  1. Liao, L., Fox, D. and Kautz, H.; Location-Based Activity Recognition.
    NIPS-05.
    http://www.cs.washington.edu/ai/Mobile_Robotics/projects/activity-recognition/postscripts/places-nips-05.pdf

  2. Hu, D.H., Pan, S.J., Zheng, V.W., Liu, N.N., and Yang, Q.; Real World Activity Recognition with Multiple Goals
    UbiComp 2008
    http://www.cse.ust.hk/~vincentz/ubicomp08_MultiGoal.pdf

  3. Geib, C.; Delaying Commitment in Plan Recognition Using Combinatory
    Categorial Grammars; Proceedings of IJCAI09; July 2009.
    http://homepages.inf.ed.ac.uk/cgeib/Site/Papers_files/IJCAI09.pdf

  4. Marchetta, M. and Forradellas, R.; Supporting Interleaved Plans in Learning Hierarchical Plan Libraries for Plan Recognition;
    Inteligencia Artificial, No. 32 (2006), p.47-56; 2006.
    343.pdf

  5. Gabaldon, A.; Activity Recognition with Intended Actions, Answer Set Programming Approach
    Proceedings of AAAI 08
    http://www.cs.toronto.edu/~alfredo/Papers/Gabaldon-NMR08.pdf

  6. Ramirez, M. and Geffner, H.; Plan recognition as planning
    Proceedings of IJCAI09
    IJCAI09-296.pdf


II - Discourse/Dialogue

  1. Pitler, E., Louis, A., and Nenkova, A.; Automatic sense prediction for implicit discourse relations in text.
    ACL 2009
    http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP077.pdf

  2. duVerle, D.A. and Prendinger, H.; A Novel Discourse Parser Based on Support Vector Machine Classification.
    ACL 2009;
    http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP075.pdf

  3. Hui, B., Partridge, G., and Boutilier, C.; A Probabilistic Mental Model for Estimating Disruption;
    IUI'09 The 2009 International Conference on Intelligent User Interfaces; February 2009.
    http://www.cs.toronto.edu/~bowen/mypapers/iui09.pdf

  4. Endrass, B., Rehm, M., and Andri, E.; Culture-specific Communication Management for Virtual Agents;
    AAMAS 2009 Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems; May 2009
    http://mm-werkstatt.informatik.uni-augsburg.de/files/publications/223/ERA_AAMAS09.pdf

  5. Tang, Y., Norman, T.J., and Parsons, S.; A model for integrating dialogue and the execution of joint plans;
    AAMAS 2009 Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems; May 2009
    http://www.aamas-conference.org/Proceedings/aamas09/pdf/01_Full%20Papers/15_86_FP_0833.pdf


III - Natural Language Generation

  1. Dale, R. and Viethen, J.; Referring Expression Generation through Attribute-Based Heuristics. In Proceedings of the 12th European Workshop on Natural Language Generation (2009);
    http://web.science.mq.edu.au/~rdale/publications/papers/2009/DaleViethenENLG2009.pdf

  2. Wan, S., Draw, M., Dale, R. and Paris, C.; Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model.
    In Proceedings of 12th Conference of the European Chapter of the Association for Computational Linguistics;
    http://web.science.mq.edu.au/~rdale/publications/papers/2009/E09-1097.pdf

  3. Wan, S., Dale, R., Dras, M., and Paris, C.; Global Revision in Summarisation: Generating Novel Sentences with Prim's Algorithm;
    PACLING 2007 Proc of the 10th Conference of the Pacific Association for Computational Linguistics; Melbourne, Australia.
    http://web.science.mq.edu.au/~rdale/publications/papers/2007/pacling-2007-swan-camera.pdf

  4. Lu, S., and Paris, C.; Authoring Content Structure for Adaptive Documents;
    A3H 1st International Workshop on Authoring of Adaptive and Adaptable Hypermedia
    http://www.win.tue.nl/~acristea/A3H/camera-ready/1-2-A3H-Lu-Paris-Camerafinal.pdf


IV - User Modeling

  1. Amershi, S., Fogarty, J., Kapoor, A. and Tan, D.; Overview-Based Example Selection in End-User Interactive Concept Learning;
    Proceedings of UIST 2008.
    http://www.cs.washington.edu/homes/jfogarty/publications/uist2009.pdf

  2. Buffet, S., Scott, N., Spencer, B., Richter, M. and Fleming, M.; Determining Internet Users' Values for Private Information;
    Proceedings of PST 2005.
    http://dev.hil.unb.ca/Texts/PST/pdf/buffett.pdf

  3. Conati, C., and Maclaren, H.; Modeling User Affect from Causes and Effects;
    UMAP 2009 Proc of First and Seventeenth International Conference on User Modeling, Adaptation and Personalization,
    http://www.cs.ubc.ca/~conati/my-papers/UMAP09-Conati-submitx.pdf

  4. Mehta, B., and Nejdl, W.; Intelligent Distributed User Modelling: from Semantics to Learning
    UbiDeUM'2007 International Workshop on Ubiquitous and Decentralized User Modeling; June, 2007
    http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.122.4228&rep=rep1&type=pdf

  5. Guo, Y. and Gomes, C.; Learning Optimal Subsets with Implicit User Preferences;
    Proceedings of IJCAI09; July 2009
    IJCAI09-178.pdf

  6. Madani, O., Bui, H. and Yeh, E.; Efficient Online Learning and Prediction of Users' Desktop Actions
    Proceedings of IJCAI 09
    http://omadani.net/pubs/2009/desktopIJCAI09.pdf


V - Intelligent Agents

  1. Bohnert, F., Schmidt, D.F., and Zukerman, I.; Spatial Processes for Recommender Systems
    IJCAI 09
    http://ijcai.org/papers09/Papers/IJCAI09-333.pdf

  2. Bergmann, K., and Kopp, S.; Increasing the Expressiveness of Virtual Agents- Autonomous Generation of Speech and Gesture for Spatial Description Tasks;
    AAMAS 2009 Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems; May, 2009
    http://www.aamas-conference.org/Proceedings/aamas09/pdf/01_Full%20Papers/05a_11_62_FP_0551.pdf

  3. Bachrach, Y., Porat, E., and Rosenschein, J.S.; Sketching Techniques for Collaborative Filtering;
    IJCAI-09 Twenty-first International Joint Conference on Artificial Intelligence; June, 2009
    ftp://ftp.cs.huji.ac.il/users/jeff/ijcai09bachrach.pdf

  4. Vig, J., Sen, S. and Riedl, J.; Tagsplanations: Explaining Recommendations Using Tags;
    IUI09 Proc of the 13th international conference on Intelligent user interfaces; June, 2009
    http://portal2.acm.org/ft_gateway.cfm?id=1502661&type=pdf&coll=portal&dl=ACM&CFID=38843619&CFTOKEN=78620592

  5. Morandini, M., Penserini, L., and Perini, A.; Operational Semantics of Goal Models in Adaptive Agents;
    AAMAS 2009 Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems; May, 2009
    http://www.aamas-conference.org/Proceedings/aamas09/pdf/01_Full%20Papers/02_11_FP_0633.pdf

  6. Thiebaux, M., Lance, B., and Marsella, S.; Real-Time Expressive Gaze Animation for Virtual Humans;
    AAMAS 2009 Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems; May, 2009
    http://www.aamas-conference.org/Proceedings/aamas09/pdf/01_Full%20Papers/05_29_FP_0844.pdf

 

 

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