Extracting distributed representations of concepts and relations from positive and negative propositions

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium

• Publication date

  2000-07-24

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/IJCNN.2000.857906
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• 3 Learning distributed representations of concepts

  2010cited by this paper
• Latent semantic analysis

  2008cited by this paper
• Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report

  1997cited by this paper
• A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.

  1997cited by this paper
• Multidimensional Scaling: History, Theory, and Applications

  1987cited by this paper
• Learning internal representations by error propagation

  1986cited by this paper
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

  1964cited by this paper

• A smart virtual keyboard to improve communication of locked-in patients

  2025cites this paper
• Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication

  2023cites this paper
• Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search

  2021cites this paper
• Contrastive Representation Learning: A Framework and Review

  2020cites this paper
• Entity Embeddings of Categorical Variables

  2016cites this paper
• Neural Network Approaches for Noisy Language Modeling

  2013cites this paper
• Aportaciones al modelado conexionista de lenguaje y su aplicación al reconocimiento de secuencias y traducción automática

  2012cites this paper
• PAID I A SURVEY ON LANGUAGE MODELING USING NEURAL NETWORKS

  2012cites this paper
• A Survey on Language Modeling using Neural Networks

  2012cites this paper
• Improved neural network based language modelling and adaptation

  2010cites this paper
• DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS

  2010cites this paper
• Learning Deep Architectures for AI

  2007cites this paper
• Continuous space language models

  2007cites this paper
• Deep Architectures for Baby AI

  2007cites this paper
• Neural Probabilistic Language Models

  2006cites this paper
• A Non-linear Dimensionality Reduction Method for Improving Nearest Neighbour Classification

  2005cites this paper
• A Neural Probabilistic Language Model

  2003cites this paper
• A neural probabilistic language model

  2003cites this paper
• Neural Nets WIRN Vietri-01

  2002influential citation
• Learning Distributed Representations of Relational Data using Linear Relational Embedding

  2001cites this paper
• Proceedings of the IEEE-INNS-ENNS International Joing Conference on Neural Networks

  2000cites this paper