All NTL Publications

Cognitive Linguistics

B. Bergen and M. Plauché (2002). Extensions of deictic and existential constructions in French: voilà, voici, and il y a. Cognitive Linguistics.
B. Bergen and M. Plauché (2001). Voilà voilà: Extensions of Deictic Constructions in French. In Alan Cienki, Barbara Luka and Michael Smith (Eds.), Conceptual and Discourse Factors in Linguistic Structure.
G. Lakoff, M. Johnson (1999). Philosophy in the Flesh: The Embodied Mind and its Challenge to Western Thought. New York: Basic Books. ISBN 0-465-05673-3.
G. Lakoff (1993). The Contemporary Theory of Metaphor. In Ortony, Andrew, ed., Metaphor and Thought, 2nd edition. Cambridge: Cambridge University Press, 202-251.
G. Lakoff (1987). Women, Fire, and Dangerous Things: What categories reveal about the mind. Chicago: University of Chicago Press. ISBN 0-226-46804-6.
G. Lakoff and M. Johnson (1980). Metaphors We Live By. Chicago: University of Chicago Press. ISBN: 0226468011
B. Bergen. (1999) The Experiential Foundations of Metaphors for Society: Metaphorical Analogy and the Personification of Society. In Barbara Luka and Michael Smith (Eds.), Grounding and Embodiment in Language.

Embodied Language Acquisition

N. Chang and T. Maia (2001). Grounded Learning of Grammatical Constructions. AAAI Spring Symposium on Learning Grounded Representations, Stanford, CA.
T. Maia and N. Chang (2001). Grounding the Acquisition of Grammar in Sensorimotor Representations. AAAI Spring Symposium on Learning Grounded Representations, Stanford, CA.
D. Bailey, N. Chang, J. Feldman, S. Narayanan (1998). Extending Embodied Lexical Development. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society COGSCI-98, Madison.
D. Bailey (1997). When Push Comes to Shove: A Computational Model of the Role of Motor Control in the Acquisition of Action Verbs. Ph.D. Dissertation, Computer Science Division, University of California Berkeley.
D. Bailey, J. Feldman, S. Narayanan, G. Lakoff (1997). Modeling Embodied Lexical Development , Proceedings of the Nineteenth Annual Meeting of the Cognitive Science Society COGSCI-97, Aug 9-11, Stanford: Stanford University Press.
T. Regier (1996). The Human Semantic Potential: Spatial Language and Constrained Connectionism. MIT Press.
T. Regier (1997). Constraints on the learning of spatial terms: A computational investigation. In Medin, D., Schyns, P., and Goldstone, R., editors, Psychology of Learning and Motivation, Volume 36: Mechanisms of Perceptual Learning. pp. 171-217, San Diego: Academic Press.
J. Feldman, G. Lakoff, D. Bailey, S. Narayanan, T. Regier, A. Stolcke (1996). L₀: The First Five Years.Artificial Intelligence Review, v10 103-129.
T. Regier (1995). A model of the human capacity for categorizing spatial relations, Cognitive Linguistics, vol. 6, no. 1, pp. 63-88.
D. Bailey (1995). Getting a Grip: A Computational Model of the Acquisition of Verb Semantics for Hand Actions. International Cognitive Linguistics Association Conference, Albuquerque NM.
J. Feldman, G. Lakoff, A. Stolcke, S. Weber (1990). Miniature Language Acquisition: A Touchstone for Cognitive Science. Proceedings of the 12th Annual Conference of the Cognitive Science Society, 686-693. Cambridge, Mass. MIT Press.

Language Understanding and Inference

Embodied Construction Grammar

B.K. Bergen and N.C. Chang. Embodied Construction Grammar in Simulation-Based Language Understanding. Technical report 02-004, International Computer Science Institute.
N. Chang, J. Feldman, R. Porzel, and K. Sanders. Scaling Cognitive Linguistics: Formalisms for Language Understanding. Presented at Scanalu 2002.
N. Chang, S. Narayanan, M. R.L. Petruck. Putting Frames in Perspective. Proc. COLING 2002.
N. Chang and I. Fischer (2000). Understanding Idioms (Word document), presented at KONVENS 2000 / SPRACHKOMMUNIKATION in Ilmenau, Germany.
B. Bergen and N. Chang (2000). Spatial Schematicity of Prepositions in Neural Grammar. A paper presented at The Fifth International Conference on Conceptual Structure, Discourse and Language, CSDL-V, May 11-14, University of California at Santa Barbara.

Metaphorical Inference

S. Narayanan (1999). Moving Right Along: A Computational Model of Metaphoric Reasoning about Events. Proceedings of the National Conference on Artificial Intelligence AAAI-99. Orlando, Florida.
S. Narayanan (1997). KARMA: Knowledge-Based Active Representations For Metaphor and Aspect. Ph.D. Dissertation, Computer Science Division, University of California, Berkeley.

Aspectual and Event-Based Inference

S. Narayanan (1999). Reasoning About Actions in Narrative Understanding. Proceedings of the International Joint Conference on Artificial Intelligence IJCAI-99, Stockholm.
N. Chang, D. Gildea, S. Narayanan (1998). A Dynamic Model of Aspectual Composition. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society COGSCI-98. Madison.
N. Chang (1997). A Cognitive Approach to Aspectual Composition. ICSI TR 97-034.
S. Narayanan (1997). Talking The Talk Is Like Walking the Walk: A Computational Model of Verbal Aspect. Proceedings of the Nineteenth Annual Meeting of the Cognitive Science Society COGSCI-97. Stanford: Stanford University Press.
S. Narayanan (1996). Embodiment in Language Understanding: Modeling the semantics of causal narratives, AAAI Symposium on Embodied Cognition and Action, Nov. 9-11, Cambridge Mass. AAAI Technical Report, FS-96-02, AAAI Press, Menlo Park, CA.

Probabilistic Language Modeling

B. Bergen (2000). Ramifications of phonology-syntax interactions for phonological models. In Proceedings of the 24rd Annual Penn Linguistics Colloquium.
B. Bergen (1999). Probability in Phonological Generalizations: Modeling Optional French Final Consonants. Proceedings of the Twenty-Sixth Annual Meeting of the Berkeley Linguistics Society. Berkeley: Berkeley Linguistics Society.
S. Narayanan, D. Jurafsky (1998). Bayesian Models of Human Sentence Processing. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society COGSCI-98, Madison.
A. Stolcke (1994). Bayesian Learning of Probabilistic Language Models. Ph.D. Dissertation, Computer Science Division, University of California, Berkeley.

Structured Connectionism

Reasoning and Inference

C. Wendelken and L. Shastri (2002). Combining belief and utility in a structured connectionist agent architecture. Proceedings of Cognitive Science 2002, Fairfax, VA, August 2002.
L. Shastri, D. Grannes, S. Narayanan, J. Feldman (2002). A connectionist encoding of parameterized schemas and reactive plans, Technical Report TR-02-008, 2002.
L. Shastri and C. Wendelken (2000). Seeking coherent explanations---a fusion of structured connectionism, temporal synchrony, and evidential reasoning. Proceedings of Cognitive Science 2000, Philadelphia, PA, August 2000.
C. Wendelken and L. Shastri (2000). Probabilistic Inference and Learning in a Connectionist Causal Network. In Proceedings of the Second International Symposium on Neural Computation.
L. Shastri (1999). Advances in Shruti --- A neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony. Applied Intelligence., 11, 79-108 (1999).
L. Shastri and C. Wendelken (1999). Soft Computing in SHRUTI. In Proceedings of the Third International Symposium on Soft Computing. Genova, Italy. pp. 741-747.
L. Shastri and C. Wendelken (1999). Knowledge Fusion in the Large---taking a cue from the brain. Proceedings of the Second International Conference on Information Fusion.
L. Shastri (1996). Temporal Synchrony, Dynamic Bindings, and SHRUTI — a representational but non-classical model of reflexive reasoning. Behavioral and Brain Sciences Vol. 19, No. 2, 331—337.
L. Shastri, D. Grannes (1996). A Connectionist Treatment of Negation and Inconsistency. Proceedings of the Eighteenth Conference of the Cognitive Science Society, 1996. pp. 142-147.
L. Shastri, D. Grannes (1995). Dealing With Negated Knowledge and Inconsistency in a Neurally Motivated Model of Memory and Reflexive Reasoning, ICSI TR-95-041.
L. Shastri, V. Ajjanagadde (1993). From simple associations to systematic reasoning. (table | figures(1) | figures(2)). Behavioral and Brain Sciences, Vol. 16, No. 3, 417—494.

Recruitment Learning

L. Shastri (2002). A Computationally Efficient Abstraction of Long-term Potentiation. Neurocomputing. 44-46: 33-41. 2002.
L. Shastri (2002). Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. In J. Austin, S. Wermter, and D. Wilshaw (Eds.), Emergent neural computational architectures based on neuroscience. Springer-Verlag, Berlin. 2001.

Episodic Memory

L. Shastri (2002). Episodic memory and cortico-hippocampal interactions. Trends in Cognitive Sciences, 6: 162-168. April 2002.
C. Ranganath, L. Shastri, and M. D'Esposito (2002). A new view of the medial temporal lobes and the structure of memory. TR-02-001. February 2002.
L. Shastri (2002). From transient patterns to persistent structures: A model of episodic memory formation via cortico-hippocampal interactions. Submitted to Behavioral and Brain Sciences
L. Shastri (1997). A Model of Rapid Memory Formation in the Hippocampal System. In the Proceedings of the Cognitive Science Conference.
J. Feldman (1988). Connectionist Representation of Concepts. In D. Waltz and J. A. Feldman (eds.), Connectionist Models and Their Applications. Ablex Publishing Company.