The society of mind
The structure-mapping engine: algorithm and examples
Artificial Intelligence
Machine Learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Applied morphological processing of English
Natural Language Engineering
Solving analogies on words: an algorithm
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Corpus-based Learning of Analogies and Semantic Relations
Machine Learning
Similarity of Semantic Relations
Computational Linguistics
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
Identifying synonyms among distributionally similar words
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Using lexical and relational similarity to classify semantic relations
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Streaming for large scale NLP: language modeling
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
The latent relation mapping engine: algorithm and experiments
Journal of Artificial Intelligence Research
One distributional memory, many semantic spaces
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
BagPack: a general framework to represent semantic relations
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
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
Sketching techniques for large scale NLP
WAC-6 '10 Proceedings of the NAACL HLT 2010 Sixth Web as Corpus Workshop
Sketch techniques for scaling distributional similarity to the web
GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
Paraphrase alignment for synonym evidence discovery
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Distributional memory: A general framework for corpus-based semantics
Computational Linguistics
Estimating the proximity between languages by their commonality in vocabulary structures
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Comparing distributional and mirror translation similarities for extracting synonyms
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Approximate scalable bounded space sketch for large data NLP
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Evaluation of analogical proportions through Kolmogorov complexity
Knowledge-Based Systems
Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus
ACM Transactions on Asian Language Information Processing (TALIP)
Bootstrapping a Game with a Purpose for Commonsense Collection
ACM Transactions on Intelligent Systems and Technology (TIST)
Entailment above the word level in distributional semantics
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
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
The CQC algorithm: cycling in graphs to semantically enrich and enhance a bilingual dictionary
Journal of Artificial Intelligence Research
Domain and function: a dual-space model of semantic relations and compositions
Journal of Artificial Intelligence Research
Computational approaches to sentence completion
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Sketch algorithms for estimating point queries in NLP
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Polarity inducing latent semantic analysis
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Improving relational similarity measurement using symmetries in proportional word analogies
Information Processing and Management: an International Journal
Knowledge discovery on incompatibility of medical concepts
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet
Language Resources and Evaluation
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Recognizing analogies, synonyms, antonyms, and associations appear to be four distinct tasks, requiring distinct NLP algorithms. In the past, the four tasks have been treated independently, using a wide variety of algorithms. These four semantic classes, however, are a tiny sample of the full range of semantic phenomena, and we cannot afford to create ad hoc algorithms for each semantic phenomenon; we need to seek a unified approach. We propose to subsume a broad range of phenomena under analogies. To limit the scope of this paper, we restrict our attention to the subsumption of synonyms, antonyms, and associations. We introduce a supervised corpus-based machine learning algorithm for classifying analogous word pairs, and we show that it can solve multiple-choice SAT analogy questions, TOEFL synonym questions, ESL synonym-antonym questions, and similar-associated-both questions from cognitive psychology.