Mechanisms of sentence processing: assigning roles to constituents
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2
Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
Learning and applying contextual constraints in sentence comprehension
Artificial Intelligence - On connectionist symbol processing
Distributed Representations, Simple Recurrent Networks, And Grammatical Structure
Machine Learning - Connectionist approaches to language learning
Connectionist neuropsychology: the breakdown and recovery of behavior in lesioned attractor networks
Connectionist neuropsychology: the breakdown and recovery of behavior in lesioned attractor networks
Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory
Subsymbolic natural language processing: an integrated model of scripts, lexicon, and memory
The acquisition and use of context-dependent grammars for English
Computational Linguistics
Self-organizing maps
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Comparative results on using inductive logic programming for corpus-based parser construction
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing
Combining Maps and Distributed Representations for Shift-Reduce Parsing
Hybrid Neural Systems, revised papers from a workshop
Learning parse and translation decisions from examples with rich context
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
The acquisition and application of context sensitive grammar for English
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
The use of artificial neural networks in the speech understanding model-SUM
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Elementary logical reasoning in the SOM output space
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
A model to computational speech understanding
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
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Simple Recurrent Networks (SRNs) have been widely used in natural language tasks. SARDSRN extends the SRN by explicitly representing the input sequence in a SARDNET self-organizing map. The distributed SRN component leads to good generalization and robust cognitive properties, whereas the SARDNET map provides exact representations of the sentence constituents. This combination allows SARDSRN to learn to parse sentences with more complicated structure than can the SRN alone, and suggests that the approach could scale up to realistic natural language.