Learning Distributed Representations of Concepts Using Linear Relational Embedding

No abstract is available for this paper.

• Publication year

  2001

• Venue

  IEEE Transactions on Knowledge and Data Engineering

• Publication date

  2001-03-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1109/69.917563
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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

  1997cited by this paper
• Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report

  1997cited by this paper
• Separating Style and Content

  1996cited by this paper
• Modular Labeling RAAM

  1995cited by this paper
• Labeling RAAM

  1994cited by this paper
• Labelling Recursive Auto-associative Memory

  1994cited by this paper
• Original Contribution: A scaled conjugate gradient algorithm for fast supervised learning

  1993cited by this paper
• Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks

  1992cited by this paper
• Recursive Distributed Representations

  1990cited by this paper
• Finding Structure in Time

  1990cited by this paper
• A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning

  1990cited by this paper
• Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition

  1989cited by this paper
• Finite State Automata and Simple Recurrent Networks

  1989cited by this paper
• Learning distributed representations of concepts.

  1989influential reference
• 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

• Bilinear representation mitigates reversal curse and enables consistent model editing

  2025cites this paper
• Superposed Parameterised Quantum Circuits

  2025cites this paper
• Linear Relational Decoding of Morphology in Language Models

  2025cites this paper
• Research on the Knowledge Representation Method of Power News Text Based on Time Hyperplane

  2025cites this paper
• Deep Learning Framework for Identifying Future Market Opportunities from Textual User Reviews

  2024cites this paper
• Efficient Based on Improved Random Forest Defense System Against Application‐Layer DDoS Attacks

  2024cites this paper
• All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling

  2024cites this paper
• Relational Composition in Neural Networks: A Survey and Call to Action

  2024cites this paper
• 知识图谱在教育信息化中的应用研究

  2024cites this paper
• Probabilistic prediction of wind power based on improved Bayesian neural network

  2024cites this paper
• Technical Research and Application Analysis of Multimodal Emotion Recognition

  2024cites this paper
• Machine Learning for Refining Knowledge Graphs: A Survey

  2024cites this paper
• Lightweight multilayer interactive attention network for aspect-based sentiment analysis

  2023cites this paper
• Analyzing the 'Belt and Road' topic of overseas Chinese media based on the BERTopic modeling

  2023cites this paper
• Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence

  2023cites this paper
• Identifying Linear Relational Concepts in Large Language Models

  2023cites this paper
• Defense against adversarial attacks via textual embeddings based on semantic associative field

  2023cites this paper
• Linearity of Relation Decoding in Transformer Language Models

  2023cites this paper
• Improving neural network representations using human similarity judgments

  2023cites this paper
• Profiling and Pairing Catchments and Hydrological Models With Latent Factor Model

  2023cites this paper
• A Survey of Text Representation and Embedding Techniques in NLP

  2023cites this paper
• A method to estimate densities of Cryptolestes pusillus (Schonherr) adults captured in electronic probe traps in paddy based on deep neural networks

  2023cites this paper
• Text classification on heterogeneous information network via enhanced GCN and knowledge

  2023cites this paper
• Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?

  2022cites this paper
• Cognitive Computing – ICCC 2022: 6th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings

  2022cites this paper
• A news text classification method based on the BiLSTM-Attention

  2022cites this paper
• Neural Topic Modeling via Discrete Variational Inference

  2022cites this paper
• gBuilder: A Scalable Knowledge Graph Construction System for Unstructured Corpus

  2022cites this paper
• Knowledge distillation guided by multiple homogeneous teachers

  2022cites this paper
• Recommendation method for academic journal submission based on doc2vec and XGBoost

  2022cites this paper
• A Co-Embedding Model with Variational Auto-Encoder for Knowledge Graphs

  2022cites this paper
• Deep Symbolic Regression for Recurrent Sequences

  2022cites this paper
• Sentiment analysis of movie reviews based on deep learning

  2021cites this paper
• PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding

  2021cites this paper
• Classifying and completing word analogies by machine learning

  2021cites this paper
• Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search

  2021cites this paper
• How to Represent Part-Whole Hierarchies in a Neural Network

  2021cites this paper
• Understanding in Artificial Intelligence

  2021cites this paper
• Vector-Quantization-Based Topic Modeling

  2021cites this paper
• Research on Civil Aviation Passenger Question Intention Recognition Based on Text Classification Method of Self-attention and Deep Neural Network

  2021cites this paper
• Learning Graph-Based Priors for Generalized Zero-Shot Learning

  2020cites this paper
• Large-Scale Question Tagging via Joint Question-Topic Embedding Learning

  2020cites this paper
• The Next Generation of Neural Networks

  2020cites this paper
• LogAG: An algebraic non-monotonic logic for reasoning with graded propositions

  2020cites this paper
• Neural Execution Engines: Learning to Execute Subroutines

  2020cites this paper
• Improving software bug-specific named entity recognition with deep neural network

  2020cites this paper
• Exploring What Is Encoded in Distributional Word Vectors: A Neurobiologically Motivated Analysis

  2020cites this paper
• Distributed associative memory network with memory refreshing loss

  2020cites this paper
• In Figure 3, we show the performance of a modified transformer model in a sequence-to-sequence

  2020cites this paper
• News Text Classification Based on MLCNN and BiGRU Hybrid Neural Network

  2020cites this paper
• Algebraic Foundations for Non-Monotonic Practical Reasoning

  2020cites this paper
• Knowledge Graph Completion: A Review

  2020cites this paper
• On Advances in Deep Learning with Applications in Financial Market Modeling

  2020cites this paper
• Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network

  2020cites this paper
• A Bilinear Ranking SVM for Knowledge Based Relation Prediction and Classification

  2019cites this paper
• Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1

  2019cites this paper
• Unsupervised Grounding of Plannable First-Order Logic Representation from Images

  2019cites this paper
• Analytics of Heterogeneous Breast Cancer Data Using Neuroevolution

  2019cites this paper
• Emergence of analogy from relation learning

  2019cites this paper
• On Learning and Learned Data Representation by Capsule Networks

  2019cites this paper
• Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

  2019cites this paper
• Short Text Classification based on Feature Extension using Information in Images

  2019cites this paper
• Representation Learning: A Statistical Perspective

  2019cites this paper
• Scalable and language-independent embedding-based approach for plagiarism detection considering obfuscation type: no training phase

  2019cites this paper
• Feature-Specific Named Entity Recognition in Software Development Social Content

  2019cites this paper
• Learning vector representation of local content and matrix representation of local motion, with implications for V1

  2019cites this paper
• Deep Anomaly Detection in Packet Payload

  2019cites this paper
• L EARNING VECTOR REPRESENTATION OF LOCAL CONTENT AND MATRIX REPRESENTATION OF LOCAL MOTION , WITH IMPLICATIONS FOR V 1

  2019cites this paper
• Logical word learning: The case of kinship

  2019cites this paper
• Recurrent Neural Network for Predicting Transcription Factor Binding Sites

  2018cites this paper
• Text Sentiment Analysis Based on Emotion Adjustment

  2018cites this paper
• Text Sentiment Analysis Based on Convolutional Neural Network and Bidirectional LSTM Model

  2018cites this paper
• Recognizing Software Bug-Specific Named Entity in Software Bug Repository

  2018cites this paper
• Human-like generalization in a machine through predicate learning

  2018cites this paper
• LSTM with sentence representations for document-level sentiment classification

  2018cites this paper
• An enhanced short text categorization model with deep abundant representation

  2018cites this paper
• A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

  2018cites this paper
• Brain-oriented Cconvolutional Neural Network Computer Style Recognition of Classical Chinese Poetry

  2018cites this paper
• Decoding multi-click search behavior based on marginal utility

  2017cites this paper
• Understanding Subtitles by Character-Level Sequence-to-Sequence Learning

  2017cites this paper
• Poincaré Embeddings for Learning Hierarchical Representations

  2017influential citation
• Joint embedding of hierarchical structure and context for entity disambiguation

  2017cites this paper
• Evaluation of Characteristics of Knowledge Base Completion Models

  2017cites this paper
• Semantic preserving embeddings for multi-relational graphs

  2017cites this paper
• MTDE: Multi-typed data embedding in heterogeneous networks

  2017cites this paper
• Performance analysis and optimization of permanent magnet synchronous motor based on deep learning

  2017cites this paper
• Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion

  2017cites this paper
• A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog

  2017cites this paper
• Research on construction of semantic dictionary in the football field

  2017cites this paper
• Learning Knowledge Embeddings by Combining Limit-based Scoring Loss

  2017cites this paper
• Learning distributed representations for large-scale dynamic social networks

  2017cites this paper
• Embedding of semantic predications

  2017cites this paper
• Creating Knowledge Graphs using Distributional Semantic Models

  2016cites this paper
• Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification

  2016cites this paper
• Learning representations in multi-relational graphs : algorithms and applications

  2016cites this paper
• Knowledge Graph Completion by Embedding with Bi-directional Projections

  2016cites this paper
• Feature Representation Based on Improved Word-Vector Clustering Using AP and E 2 LSH

  2016cites this paper
• Document Sentiment Classification based on the Word Embedding

  2015cites this paper
• Investigation of ensemble models for sequence learning

  2015cites this paper
• Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base

  2015cites this paper