| Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization | 0 | 0.34 | 2021 |
| Discovering the Compositional Structure of Vector Representations with Role Learning Networks. | 0 | 0.34 | 2020 |
| Mapping natural-language problems to formal-language solutions using structured neural representations | 0 | 0.34 | 2020 |
| Universal linguistic inductive biases via meta-learning | 0 | 0.34 | 2020 |
| Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme. | 0 | 0.34 | 2020 |
| RNNs implicitly implement tensor-product representations. | 0 | 0.34 | 2019 |
| RNNs implicitly implement tensor-product representations | 1 | 0.35 | 2019 |
| Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation. | 0 | 0.34 | 2018 |
| RNNs Implicitly Implement Tensor Product Representations. | 0 | 0.34 | 2018 |
| Tensor Product Generation Networks for Deep NLP Modeling. | 2 | 0.35 | 2018 |
| Dynamic encoding of structural uncertainty in gradient symbols. | 0 | 0.34 | 2018 |
| Learning and Analyzing Vector Encoding of Symbolic Representation. | 0 | 0.34 | 2018 |
| Predicting the Argumenthood of English Prepositional Phrases | 0 | 0.34 | 2018 |
| Learning and analyzing vector encoding of symbolic representations. | 0 | 0.34 | 2018 |
| Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations. | 0 | 0.34 | 2018 |
| Question-Answering with Grammatically-Interpretable Representations. | 4 | 0.38 | 2018 |
| Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations. | 1 | 0.35 | 2018 |
| Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. | 0 | 0.34 | 2017 |
| Tensor Product Generation Networks. | 0 | 0.34 | 2017 |
| A Neural-Symbolic Approach to Natural Language Tasks. | 0 | 0.34 | 2017 |
| Bifurcation analysis of a Gradient Symbolic Computation model of incremental processing. | 0 | 0.34 | 2016 |
| Basic Reasoning with Tensor Product Representations | 2 | 0.36 | 2016 |
| Reasoning in Vector Space: An Exploratory Study of Question Answering | 12 | 1.08 | 2015 |
| Subsymbolic computation theory for the human intuitive processor | 0 | 0.34 | 2012 |
| A Bayesian model of biases in artificial language learning: the case of a word-order universal. | 2 | 0.66 | 2012 |
| On the Asymmetrical Difficulty of Acquiring Person Reference in French: Production Versus Comprehension | 0 | 0.34 | 2012 |
| The rumelhart prize at 10. | 0 | 0.34 | 2010 |
| Introduction to the 2006 rumelhart prize special issue honoring roger shepard. | 1 | 0.35 | 2008 |
| Harmony in linguistic cognition. | 6 | 0.64 | 2006 |
| Grammar-based connectionist approaches to language | 10 | 1.23 | 1999 |
| Optimality Theory: Universal Grammar, Learning and Parsing Algorithms, and Connectionist Foundations (Abstract) | 0 | 0.34 | 1994 |
| Dynamic Conflict Resolution in a Connectionist Rule-Based System | 2 | 0.38 | 1993 |
| Harmonic Grammars for Formal Languages | 2 | 0.49 | 1992 |
| Rule Induction Through Integrated Symbolic And Subsymbolic Processing | 26 | 3.76 | 1991 |
| Distributed recursive structure processing | 1 | 0.44 | 1990 |
| Skeletonization: a technique for trimming the fat from a network via relevance assessment | 107 | 53.25 | 1988 |
| Social science and system design: interdisciplinary collaborations | 0 | 0.34 | 1987 |
| Analysis of Distributed Representation of Constituent Structure in Connectionist Systems | 0 | 0.34 | 1987 |
| Constraint-based hypertext for argumentation | 29 | 8.74 | 1987 |
| Ethical questions and military dominance in next generation computing | 0 | 0.34 | 1984 |
| The impact and issues of the fifth generation: Ethical issues in new computing technologies | 0 | 0.34 | 1984 |
| Schema Selection and Stochastic Inference in Modular Environments | 7 | 12.48 | 1983 |
