NLU

Important authors:

James Allen

Sowa

Erik T. Mueller (ThoughtTreasure)

Peter Norvig (FAUSTUS-Google)

Miikkulainen (DISCERN)

Narayanan

Natural Language Understanding

http://tigger.cs.uwm.edu/~nlkrrg/demos.html

http://csli-publications.stanford.edu/site/1575864967.html

http://www.w3.org/TR/nl-spec/

…

KNOWLEDGE REPRESENTATION

http://en.wikipedia.org/wiki/Knowledge_representation

http://en.wikipedia.org/wiki/Ontology_language

Rayadas a leer:
Lenat, Douglas B. (1995). CYC: A large-scale investment in knowledge infrastructure. Communications of the ACM, 38(11), 33-48.

Hobbs1993 (Interpretation as abduction) (CITADO)

Narayanan, Srinivas S. (1997). Knowledge-based action representations for metaphor and aspect (KARMA) (Unpublished doctoral dissertation). University of California, Berkeley.

Johnson-Laird, Philip N. (1993). Human and machine thinking. Hillsdale, NJ: Erlbaum.

Minsky, Marvin (1986). The society of mind. New York: Simon and Schuster.

Landauer, Thomas K. (1986). How much do people remember? Some estimates of the quantity of learned information in long-term memory. Cognitive Science, 10, 477-493.

Very interesting information:
http://idiom.ucsd.edu/~rlevy/lign274/
http://www.u.arizona.edu/~obryan/psycholinguistics.html (events)
http://www.stanford.edu/class/psych227/ (infants word segmentation, etc)

INteresting book
Computational Psycholinguistics : An Interdisciplinary Approach to the Study of Language

http://www.researchportal.be/en/projects/search.faces?classifications=H362_iwDisciplineCode
http://www.u.arizona.edu/~obryan/psyc432.htm
http://www.tandf.co.uk/journals/titles/01690965.asp

A computational psycholinguistic model of language acquisition.
University of Antwerp

This project aims at developing a computational psycholinguistic model of children’s primary language acquisition. Ultimately the model is meant to provide a computational psycholinguistic account of acquisition in a data-driven way, incorporating the structural aspects of input, the child’s ‘intake’ of the input and the self-organizing mechanisms of the learner. The term ‘computational psycholinguistic’ is not only meant as a characterization of the type of theory to be developed, it also defines the methodology to be adopted: the acquisition of particular linguistic domains will be studied from a psycholinguistic perspective, viz. the investigation of child language corpora (and experimental testing of hypothesis), and from a computational perspective, viz. the use of artificial learning algorithms in simulations. Both methodologies will be implemented in an integrated fashion so as to maximize mutual informativeness and theoretical relevance. The relationship between the psycholinguistic and the computational perspective is twofold: (i) The articulation of a model of children’s language acquisition in which structural aspects of the input language and the self-organizing mechanisms of the learner are related, acts as the unifying framework. (ii) Particular aspects of the acquisition of the phonology, lexicon and morphosyntax of Dutch will be studied both from a psycholinguistic and a computational perspective. Corpora will be used as primary data in psycholinguistic analyses and they will be used as input material for the artificial language learners. The performance of the latter can be evaluated using the actual acquisition patterns of the children studied.