On the Internal Representations of Product Units
Neural Processing Letters
SYMCON—A Hybrid Symbolic/Connectionist Systemfor Word Sense Disambiguation
Applied Intelligence
Knowledge Extraction from Transducer Neural Networks
Applied Intelligence
Connectionism, Systematicity, and the Frame Problem
Minds and Machines
Intelligent weather monitoring systems using connectionist models
Neural, Parallel & Scientific Computations
Natural Language Grammatical Inference with Recurrent Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Integrating Linguistic Primitives in Learning Context-Dependent Representation
IEEE Transactions on Knowledge and Data Engineering
Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks
IEEE Transactions on Knowledge and Data Engineering
On the emergence of rules in neural networks
Neural Computation
Segmenting state into entities and its implication for learning
Emergent neural computational architectures based on neuroscience
Modelling higher cognitive functions with Hebbian cell assemblies
Emergent neural computational architectures based on neuroscience
A Paradox of Neural Encoders and Decoders or Why Don't We Talk Backwards?
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
Automatic Adaptation of a Natural Language Interface to a Robotic System
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Modelling Higher Cognitive Functions with Hebbian Cell Assemblies
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Segmenting State into Entities and Its Implication for Learning
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Sequence Learning - Paradigms, Algorithms, and Applications
A connectionist architecture for learning to parse
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Part-of-speech induction from scratch
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Acquiring receptive morphology: a connectionist model
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A Neural Syntactic Language Model
Machine Learning
Sentence generation and neural networks
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Spatiotemporal Connectionist Networks: A Taxonomy and Review
Neural Computation
A neural network parser that handles sparse data
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Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Knowledge and Information Systems
Semiotic Dynamics for Embodied Agents
IEEE Intelligent Systems
Spoken language classification using hybrid classifier combination
International Journal of Hybrid Intelligent Systems
Weather analysis using ensemble of connectionist learning paradigms
Applied Soft Computing
Prediction of oil well production: A multiple-neural-network approach
Intelligent Data Analysis
Neural Information Processing
Autonomous Parsing of Behavior in a Multi-agent Setting
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Neural Networks
State-dependent computation using coupled recurrent networks
Neural Computation
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
SARDSRN: a neural network shift-reduce parser
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
Segmented-memory recurrent neural networks
IEEE Transactions on Neural Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Evolution of recollection and prediction in neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Reliability-based approach to the inverse kinematics solution of robots using Elman's networks
Engineering Applications of Artificial Intelligence
Machine learning in evolving connectionist text summarizer
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
A novel evolutionary connectionist text summarizer (ECTS)
ASID'09 Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication
Broad-coverage parsing using human-like memory constraints
Computational Linguistics
Structural bias in inducing representations for probabilistic natural language parsing
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Fifty years of AI: from symbols to embodiment - and back
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Training recurrent connectionist models on symbolic time series
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Improving the state space organization of untrained recurrent networks
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Prostate cancer prognosis evaluation assisted by neural networks
WSEAS Transactions on Computers
A cognitive interactionist sentence parser with simple recurrent networks
Information Sciences: an International Journal
Dynamic social simulation with multi-agents having internal dynamics
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Recognition and generation of sentences through self-organizing linguistic hierarchy using MTRNN
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Neural coding model of associative ontology with up/down state and morphoelectrotonic transform
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Spaces enhance word segmentation and comprehension in tacit reading
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
A sentence generation network that learns surface and abstract syntactic structures
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
International Journal of Artificial Intelligence and Soft Computing
Action-Based cognition: how robots with no sensory system orient themselves in an open field box
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
Multistep-Ahead time series prediction
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Learning regular expressions from noisy sequences
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Semi-supervised recursive autoencoders for predicting sentiment distributions
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Information Sciences: an International Journal
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ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Journal of Computational Neuroscience
Fractal unfolding: a metamorphic approach to learning to parse recursive structure
CMCL '12 Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics
Connectionist-inspired incremental PCFG parsing
CMCL '12 Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics
Sequential vs. hierarchical syntactic models of human incremental sentence processing
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Semantic compositionality through recursive matrix-vector spaces
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Information Sciences: an International Journal
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In this paper three problems for a connectionist account of language are considered:1. What is the nature of linguistic representations?2. How can complex structural relationships such as constituent structure be represented?3. How can the apparently open-ended nature of language be accommodated by a fixed-resource system?Using a prediction task, a simple recurrent network (SRN) is trained on multiclausal sentences which contain multiply-embedded relative clauses. Principal component analysis of the hidden unit activation patterns reveals that the network solves the task by developing complex distributed representations which encode the relevant grammatical relations and hierarchical constituent structure. Differences between the SRN state representations and the more traditional pushdown store are discussed in the final section.