Artificial Intelligence - On connectionist symbol processing
Contextual correlates of synonymy
Communications of the ACM
A structured vector space model for word meaning in context
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Language models based on semantic composition
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Paraphrase assessment in structured vector space: exploring parameters and datasets
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Compositional matrix-space models of language
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
From frequency to meaning: vector space models of semantics
Journal of Artificial Intelligence Research
A regression model of adjective-noun compositionality in distributional semantics
GEMS '10 Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics
Concrete sentence spaces for compositional distributional models of meaning
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Computing semantic compositionality in distributional semantics
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Algebraic approaches to compositional distributional semantics
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
(Linear) maps of the impossible: capturing semantic anomalies in distributional space
DiSCo '11 Proceedings of the Workshop on Distributional Semantics and Compositionality
Distributed structures and distributional meaning
DiSCo '11 Proceedings of the Workshop on Distributional Semantics and Compositionality
QI'11 Proceedings of the 5th international conference on Quantum interaction
A context-theoretic framework for compositionality in distributional semantics
Computational Linguistics
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Experimenting with transitive verbs in a DisCoCat
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Compositional matrix-space models for sentiment analysis
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploring supervised lda models for assigning attributes to adjective-noun phrases
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Probabilistic models of similarity in syntactic context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Experimental support for a categorical compositional distributional model of meaning
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A quick tour of word sense disambiguation, induction and related approaches
SOFSEM'12 Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science
Space projections as distributional models for semantic composition
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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
Evaluating distributional models of semantics for syntactically invariant inference
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Learning semantics and selectional preference of adjective-noun pairs
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
An unsupervised ranking model for noun-noun compositionality
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
Saarland: vector-based models of semantic textual 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
Domain and function: a dual-space model of semantic relations and compositions
Journal of Artificial Intelligence Research
Distributional techniques for philosophical enquiry
LaTeCH '12 Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
A comparison of vector-based representations for semantic composition
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Semantic compositionality through recursive matrix-vector spaces
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
First-order vs. higher-order modification in distributional semantics
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Real, complex, and binary semantic vectors
QI'12 Proceedings of the 6th international conference on Quantum Interaction
Parallels between machine and brain decoding
BI'12 Proceedings of the 2012 international conference on Brain Informatics
An inference-based model of word meaning in context as a paraphrase distribution
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Typing linear algebra: A biproduct-oriented approach
Science of Computer Programming
WebChild: harvesting and organizing commonsense knowledge from the web
Proceedings of the 7th ACM international conference on Web search and data mining
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We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as vectors and adjectives as data-induced (linear) functions (encoded as matrices) over nominal vectors. Our model significantly outperforms the rivals on the task of reconstructing AN vectors not seen in training. A small post-hoc analysis further suggests that, when the model-generated AN vector is not similar to the corpus-observed AN vector, this is due to anomalies in the latter. We show moreover that our approach provides two novel ways to represent adjective meanings, alternative to its representation via corpus-based co-occurrence vectors, both outperforming the latter in an adjective clustering task.