A vector space model for automatic indexing
Communications of the ACM
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Text Representation: From Vector to Tensor
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Tensor space model for document analysis
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Beyond streams and graphs: dynamic tensor analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Similarity of Semantic Relations
Computational Linguistics
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping
ACM Transactions on Mathematical Software (TOMS)
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Cross-language information retrieval using PARAFAC2
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A structured vector space model for word meaning in context
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A non-negative tensor factorization model for selectional preference induction
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
Compositional matrix-space models of language
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Two multivariate generalizations of pointwise mutual information
DiSCo '11 Proceedings of the Workshop on Distributional Semantics and Compositionality
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Vector-based distributional models of semantics have proven useful and adequate in a variety of natural language processing tasks. However, most of them lack at least one key requirement in order to serve as an adequate representation of natural language, namely sensitivity to structural information such as word order. We propose a novel approach that offers a potential of integrating order-dependent word contexts in a completely unsupervised manner by assigning to words characteristic distributional matrices. The proposed model is applied to the task of free associations. In the end, the first results as well as directions for future work are discussed.