The society of mind
The structure-mapping engine: algorithm and examples
Artificial Intelligence
Analogy-making as perception: a computer model
Analogy-making as perception: a computer model
Journal of Experimental & Theoretical Artificial Intelligence
The subtlety of sameness: a theory and computer model of analogy-making
The subtlety of sameness: a theory and computer model of analogy-making
Matrix computations (3rd ed.)
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Latent semantic space: iterative scaling improves precision of inter-document similarity measurement
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Automatic labeling of semantic roles
Computational Linguistics
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Kernel Principal Component Analysis
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Coupled clustering: a method for detecting structural correspondence
The Journal of Machine Learning Research
Solving analogies on words: an algorithm
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
On Intelligence
The Geometry of Information Retrieval
The Geometry of Information Retrieval
CorMet: a computational, corpus-based conventional metaphor extraction system
Computational Linguistics
Geometry and Meaning
Corpus-based Learning of Analogies and Semantic Relations
Machine Learning
Similarity of Semantic Relations
Computational Linguistics
Strategies for lifelong knowledge extraction from the web
Proceedings of the 4th international conference on Knowledge capture
A heuristic program to solve geometric-analogy problems
AFIPS '64 (Spring) Proceedings of the April 21-23, 1964, spring joint computer conference
A uniform approach to analogies, synonyms, antonyms, and associations
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
SemEval-2007 task 04: classification of semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Measuring semantic similarity by latent relational analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
CogSketch: open-domain sketch understanding for cognitive science research and for education
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Metaphor-based meaning excavation
Information Sciences: an International Journal
Text relatedness based on a word thesaurus
Journal of Artificial Intelligence Research
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
Identifying candidates for design-by-analogy
Computers in Industry
Extracting explicit and implicit causal relations from sparse, domain-specific texts
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Pattern Recognition and Image Analysis
Evaluation of analogical proportions through Kolmogorov complexity
Knowledge-Based Systems
CBR with commonsense reasoning and structure mapping: an application to mediation
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus
ACM Transactions on Asian Language Information Processing (TALIP)
SemEval-2012 task 2: measuring degrees of relational similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
UTD: determining relational similarity using lexical patterns
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Domain and function: a dual-space model of semantic relations and compositions
Journal of Artificial Intelligence Research
Chance Discovery as Analogy Based Value Sensing
International Journal of Organizational and Collective Intelligence
Data & Knowledge Engineering
Learning concept hierarchies from textual resources for ontologies construction
Expert Systems with Applications: An International Journal
Mining for analogous tuples from an entity-relation graph
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
| Hi-index | 0.00 |
Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) and its implementation in the Structure Mapping Engine (SME). A limitation of SME is the requirement for complex hand-coded representations. We introduce the Latent Relation Mapping Engine (LRME), which combines ideas from SME and Latent Relational Analysis (LRA) in order to remove the requirement for hand-coded representations. LRME builds analogical mappings between lists of words, using a large corpus of raw text to automatically discover the semantic relations among the words. We evaluate LRME on a set of twenty analogical mapping problems, ten based on scientific analogies and ten based on common metaphors. LRME achieves human-level performance on the twenty problems. We compare LRME with a variety of alternative approaches and find that they are not able to reach the same level of performance.