| Context-Driven Construction Learning | N. Chang and O. Gurevich | Proceedings of the 26th Annual Meeting of the Cognitive Science Society, Chicago, Illinois | August 2004 | AI | [PDF]
|
| Understanding idioms | N. Chang and I. Fischer | KONVENS 2000/Sprachikommunikation, Ilmenau, Germany | 2000 | AI | |
| Putting Context in Constructions | N. Chang and E. Mok | Presented at the Fourth International Conference on Construction Grammar (ICCG4), Tokyo, Japan | September 2006 | AI | [PDF]
|
| A Structured Context Model for Grammar Learning | N. Chang and E. Mok | Proceedings of the International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, Canada, pp. 1604-1611 | July 2006 | AI | [PDF]
|
| A computational model of comprehension-based construction acquisition | N. Chang | Child Language Research Forum, Stanford University | May 2004 | AI | [PDF]
|
| Constructing Grammar: A Computational Model of the Emergence of Early Constructions | N. Chang | UC Berkeley dissertation | February 2009 | AI | [PDF]
|
| From Motion Frames to Grammar: A Usage-Based Model of a Construction Learning | N. Chang | Presented at Frames and Constructions, Berkeley, California | July 2009 | AI | [PDF]
|
| Reframing FrameNet Data | M.R.L. Petruck, C. Fillmore, C. Baker, M. Ellsworth, and J. Ruppenhofer | Proceedings of the 11th EURALEX International Congress (EURALEX 2004), Lorient, France, pp. 405-416 | July 2004 | AI | [PDF]
|
| All in a Day's Week | M.R.L. Petruck and H.C. Boas | Presentation at Workshop on Frame Semantics. Prague, Czech Republic | July 29 2003 | AI | |
| Frame Semantics | M.R.L. Petruck | Handbook of Pragmatics. Philadelphia: John Benjamins | 1996 | AI | [PDF]
|
| Syntagmatic Information from the FrameNet Database: Distinguishing Avoiding and Evading | M.R.L. Petruck | Presentation at Linguistic Society of America Annual Meeting, Oakland, California | January 2005 | AI | |
| Towards Hebrew FrameNet | M.R.L. Petruck | Kernerman Dictionary News, No. 13 | June 2005 | AI | [PDF]
|
| Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction | M. van Heeswijk, Y. Miche, T. Lindh-Knuutila, T. Honkela, E. Oja, and A. Lendasse | Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Vol. 2, Limassol, Cyprus, pp. 305-314 | September 2009 | AI | [PDF]
|
| Communicating with Exectuable Representations | M. Schilling and S. Narayanan | Proceedings of the AAAI Spring Symposium (Designing Intelligent Robots), Stanford University, California | March 2013 | AI | |
| Universally Manipulable Body Models -- Dual Quaternion Representations in Layered and Dynamic MMCs | M. Schilling | Autonomous Robots, Vol. 30, No. 4, pp. 399-425, DOI: 10.1007/s10514-011-9226-3
This is the author’s version of the work. The final publication is available at www.springerlink.com. | 2011 | AI | [PDF]
|
| Learning by Seeing--Associative Learning of Visual Features Through Mental Simulation of Observed Action | M. Schilling | Proceedings of the European Conference on Artificial Life (ECAL 11), Paris, France, pp. 731-738 | August 2011 | AI | [PDF]
|
| Integrating multi-sensory input in the body model, an RNN approach to connect proprioception, visual features and motor control | M. Schilling | Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California | July 2011 | AI | [PDF]
|
| Recruitment of Grounded Internal Models in Action, Cognition and Language | M. Schilling | Invited Talk at the 2011 Workshop on Action, Language and Neuroinformatics, Los Angeles, California | July 2011 | AI | |
| From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of Experience | M. Raab, M. Wernsdorfer, E. Kitzelmann, and U. Schmid | Proceedings of the Fourth International Artificial General Intelligence Conference (AGI 2011), Mountain View, California, Vol. 6830, pp. 333-339 | August 2011 | AI | [PDF]
|
| Precedes: A Semantic Relation in FrameNet | M. R. L. Petruck and G. de Melo | Proceedings of the Workshop on Language Resources for Public Security Applications at the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, pp.45-49 | May 2012 | AI | [PDF]
|
| Framing Motion in Hebrew and English | M. R. L. Petruck | In Frames, Corpora, and Knowledge Representation, R. Rossini Favretti, ed., Bononia University Press, pp. 43-52 | 2008 | AI | [PDF]
|
| Advances in Frame Semantics | M. R. L. Petruck | Constructions and Frames, Special Issue on Advances in Frame Semantics, Vol. 3, Issue 1, pp. 1-8 | August 2011 | AI | |
| Why Is This Day Different from All Others? | M. Petruck | Presented at Frames and Constructions, Berkeley, California | July 2009 | AI | [PDF]
|
| Typological Considerations in Constructing a Hebrew FrameNet | M. Petruck | In Multilingual FrameNets in Computational Lexicography: Methods and Applications, H. Boas, ed., pp. 183-205, Mouton de Gruyter | 2009 | AI | |
| The Ideal Interaural Parameter Mask: A Bound on Binaural Separation Systems | M. Mandel and D. Ellis | Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA-09), Mohonk, New York, pp. 85-88 | October 2009 | AI | [PDF]
|
| The Identification of Stages in Diachronic Data: Variability-Based Neighbor Clustering | M. Hilpert and S. Gries | Corpora, Vol. 3, No. 1, pp. 59-81 | May 2008 | AI | [PDF]
|
| The English Comparative: Language Structure and Language Use | M. Hilpert | English Language and Linguistics, Vol. 12, Issue 3, pp. 395-417 | November 2008 | AI | [PDF]
|
| A Connectionist Model of Planning via Back-Chaining Search | M. Garagnani, L. Shastri, and C. Wendelken | Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2001), Edinburgh, Scotland | December 2001 | AI | [PDF]
|
| A Connectionist Model of Planning via Back-Chaining Search | M. Garagnani, L. Shastri, and C. Wendelken | Proceedings of the 24th Annual Conference of the Cognitive Science Society (CogSci 2002), Fairfax, Virginia | August 2002 | AI | [PDF]
|
| A Paradox of English Determination: The Construction of Complex Number Expressions | M. Ellsworth, R. Lee-Goldman, and R. Rhodes | Presented at Western Conference on Linguistics (WECOL 2008), Davis, California | November 2008 | AI | [PDF]
|
| Frame-semantic Analysis of Motion Scenarios in English, German, Spanish, and Japanese | M. Ellsworth, K. Ohara, C. Subirats Rüggeberg, and T. Schmidt | Proceedings of Fourth International Conference on Construction Grammar (ICCG4), Tokyo, Japan | September 2006 | AI | [PDF]
|
| Unsupervised Translation Sense Clustering | M. Bansal, J. DeNero, and D. Lin | Proceedings of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Conference (NAACL HLT 2010), Montreal, Canada, pp. 773-782 | June 2012 | AI | [PDF]
|
| Coreference Semantics from Web Features | M. Bansal and D. Klein | Proceedings of the 50th Annual Meeting of the Association of Computational Linguistics (ACL 2012), Jeju, Korea | July 2012 | AI | [PDF]
|
| Individual and Population Differences in Focal Colors | M. A. Webster and P. Kay | In The Anthropology of Color: Interdisciplinary Multilevel Modeling, R.E. MacLaury, G. V. Paramei, and D. Dedrick, eds., pp. 29-54, John Benjamins | 2006 | AI | |
| A Connectionist Encoding of Parameterized Schemas and Reactive Plans | L. Shastri, D.J. Grannes, S. Narayanan, and J. Feldman | Proceedings of the First SMART-Symposium, Reisenburg Castle, Germany, July 1997. In GK Kraetzschmar, G Palm (eds), “Lecture Notes in Artificial Intelligence 1624,” pp. 1-28 | 1999 | AI | |
| A Connectionist Encoding of Parameterized Schemas and Reactive Plans | L. Shastri, D. Grannes, S. Narayanan, and J. Feldman | Hybrid Information Processing in Adaptive Autonomous vehicles, G.K. Kraetzschmar and G. Palm (Eds.), Springer-Verlag, Berlin; also ICSI Technical Report TR-02-008 | 2002 | AI | |
| From simple associations to systematic reasoning | L. Shastri and V. Ajjanagadde | Behavioral and Brain Sciences, Vol. 16, No. 3, pp. 417-494. | 1993 | AI | |
| Evidential Reasoning in Semantic Networks: A Formal Theory | L. Shastri and J.A. Feldman | Proceedings of the 9th International Joint Conference on Artificial Intelligence, pp. 465-474 | 1985 | AI | |
| Massively Parallel Knowledge Representation and Reasoning - Taking a Cue from the Brain | L. Shastri and D.R. Mani | Parallel Processing for Artificial Intelligence 3, (Eds.) Geller, J., Kitano, H. and Suttner, C. Elsevier Science | 1997 | AI | |
| A Connectionist Treatment of Negation and Inconsistency | L. Shastri and D.J. Grannes | Proceedings of the 18th Conference of the Cognitive Science Society | 1996 | AI | |
| A case study of SHRUTI | L. Shastri and D.J. Grannes | In Noetica: Open Forum, Vol. 2, Issue 7 | 1996 | AI | |
| Seeking coherent explanations - a fusion of structured connectionism, temporal synchrony, and evidential reasoning | L. Shastri and C. Wendelken | Proceedings of the 22nd Annual Conference of the Cognitive Science Society (CogSci 2000), Philadelphia, Pennsylvania | August 2000 | AI | [PDF]
|
| Soft Computing in Shruti -- A neurally plausible model of reflexive reasoning and relational information processing | L. Shastri and C. Wendelken | Proceedings of the Third International Symposium on Soft Computing, Genova, Italy, pp. 741-747 | June 1999 | AI | |
| Knowledge fusion in the large - taking a cue from the brain | L. Shastri and C. Wendelken | Proceedings of the Second International Conference on Information Fusion (FUSION'99), Sunnyvale, California | July 1999 | AI | [PDF]
|
| From Transient Patterns to Persistent Structures: A model of episodic memory formation via cortic-hippocampal interactions | L. Shastri | Behavioral and Brain Science, in revision | January 2004 | AI | [PDF]
|
| A Computationally Efficient Abstraction of Long-term Potentiation | L. Shastri | Neurocomputing, Vol. 44-46, pp. 33-41 | June 2002 | AI | [PDF]
|
| Episodic Memory and Cortico-Hippocampal Interactions | L. Shastri | Trends in Cognitive Sciences, Vol. 6, No. 4, pp. 162-168 | April 2002 | AI | [PDF]
|
| A computational model of episodic memory formation in the hippocampal system | L. Shastri | Neurocomputing, Vol. 38-40, pp. 889-897 | 2001 | AI | |
| Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation | L. Shastri | In Emergent neural computational architectures based on neuroscience, J. Austin, S. Wermter, and D. Wilshaw (Eds.), pp. 348-367, Springer-Verlag | 2001 | AI | |
| An Extended Local Connectionist Manifesto: Embracing Relational and Procedural Knowledge | L. Shastri | Behavioral and Brain Sciences, Vol. 23, No. 4, pp. 492-493 | August 2000 | AI | [PDF]
|