Output details
11 - Computer Science and Informatics
Middlesex University
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Article title
A psycholinguistic model of natural language parsing implemented in simulated neurons
Type
D - Journal article
Title of journal
Cognitive Neurodynamics
Article number
-
Volume number
3
Issue number
4
First page of article
317
ISSN of journal
1871-4099
Year of publication
2009
Number of additional authors
0
Additional information
<24> Miikkulainen said that this was the only work on natural language (NL) parsing with neurons being done. Using simulated neurons, Cell Assemblies (CAs) and binding via short-term potentiation, a system parses NL in a psychologically plausible manner. It parses in the correct time, resolves attachment ambiguities and produces semantic output. It is the best neurocognitive model of NL parsing, using CA persistence as a short-term memory instead of a stack. It was a main outcome of EPSRC grant EP/D059720, and was used by the CABot3 games agent to parse NL commands for setting goals.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
6
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
