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https://www.aclweb.org/anthology/D11-1129/
Modelling compositional meaning for sen-tences using empirical distributional methods has been a challenge for computational lin-guists. We implement the abstract categorical model of Coecke et al. (2010) using data from the BNC and evaluate it. The implementation is based on unsupervised learning of matrices for relational words and applying them to theCited by: 152
https://www.researchgate.net/publication/51917095_Experimental_Support_for_a_Categorical_Compositional_DistributionalModel_of_Meaning
The categorical compositional distributional (DisCoCat) model of meaning of Coecke et al. (arXiv:1003.4394v1 [cs.CL]) combines aspected of both to provide a …
https://ui.adsabs.harvard.edu/abs/2011arXiv1106.4058G/abstract
Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al. (arXiv:1003.4394v1 [cs.CL]) using data from the BNC and evaluate it.Cited by: 88
https://core.ac.uk/display/77303949
Experimental Support for a Categorical Compositional Distributional Model of Meaning . By Edward Grefenstette and Mehrnoosh Sadrzadeh. Abstract. Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al. (2010 ...Author: Edward Grefenstette and Mehrnoosh Sadrzadeh
http://www.cs.ox.ac.uk/activities/publications/type/compdistmeaning.html
Experimental Support for a Categorical Compositional Distributional Model of Meaning . Edward Grefenstette and Mehrnoosh Sadrzadeh . In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 2011.
https://www.academia.edu/12992952/Experimental_support_for_a_categorical_compositional_distributional_model_of_meaning
Experimental support for a categorical compositional distributional model of meaning
https://core.ac.uk/display/77303949
Experimental Support for a Categorical Compositional Distributional Model of Meaning . By Edward Grefenstette and Mehrnoosh Sadrzadeh. Abstract. Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model of Coecke et al. (2010 ...
https://www.cs.ox.ac.uk/activities/publications/date/CompDistMeaning.html
Experimental Support for a Categorical Compositional Distributional Model of Meaning Edward Grefenstette and Mehrnoosh Sadrzadeh In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing .
https://link.springer.com/article/10.1007/s10472-017-9570-x
Grefenstette, E., Sadrzadeh, M.: Experimental support for a categorical compositional distributional model of meaning. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. pp. 1394–1404. Association for Computational Linguistics (2011) Google Scholar
https://golem.ph.utexas.edu/category/2018/02/linguistics_using_category_the.html
E. Grefenstette & Sadrzadeh, Experimental Support for a Categorical Compositional Distributional Model of Meaning (arXiv:1106.4058). Kartsaklis & Mehrnoosh, Prior Disambiguation of Word Tensors for Constructing Sentence Vectors, EMNLP, 2013. At the time these outperformed existing methods but meanwhile Machine Learning has taken over.
http://alt.qcri.org/semeval2014/task1/
Experimental support for a categorical compositional distributional model of meaning. In Proceedings of EMNLP. Edinburgh, UK. [3] Mitchell, Jeff and Mirella Lapata, 2008. Vector-based models of semantic composition. In Proceedings of ACL. Columbus, OH. [4] Mitchell, Jeff and Mirella Lapata, 2010. Composition in distributional models of semantics.
https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00209
Modeling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. The categorical model of Clark, Coecke, and Sadrzadeh (2008) and Coecke, Sadrzadeh, and Clark (2010) provides a solution by unifying a categorial grammar and a distributional model of meaning.
https://paperswithcode.com/search?q=toumix/discopy
Experimental Support for a Categorical Compositional Distributional Model of Meaning. 20 Jun 2011 • toumix/discopy. The evaluation is based on the word disambiguation task developed by Mitchell and Lapata (2008) for intransitive sentences, and on a similar new experiment designed for …
http://www.cs.ox.ac.uk/activities/publications/bibtex/compdistmeaning.html
Publications, by bibtex,Compositional Distributional Models of Meaning, Department of Computer Science, Oxford
https://link.springer.com/chapter/10.1007/978-3-642-24971-6_5
We provide an overview of the hybrid compositional distributional model of meaning, developed in [6], which is based on the categorical methods also applied to the analysis of information flow in... A Compositional Distributional Semantics, Two Concrete Constructions, and Some Experimental Evaluations SpringerLink
https://www.researchgate.net/publication/45907781_Mathematical_Foundations_for_a_Compositional_Distributional_Model_of_Meaning
Coecke, Sadrzadeh, and Clark (arXiv:1003.4394v1 [cs.CL]) developed a compositional model of meaning for distributional semantics, in which each word in a sentence has a meaning …
https://www.cse.iitk.ac.in/users/cs365/2014/_submissions/ssai/project/proposal.pdf
2. Grefenstette, Edward and Mehrnoosh Sadrzadeh, 2011. Experimental support for a categorical compositional distributional model of meaning. In Proceedings of EMNLP. Edinburgh, UK. (Recommended by Prof. Mukerjee) 3.Mitchell, Jeff and Mirella Lapata, 2008. Vectorbased models of semantic composition. In
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.432.5189&rep=rep1&type=pdf
2An overview of the categorical model Using the abstract framework of category theory, Coecke et al. (2010) equip the distributional models of meaning with compositionality in a way that every grammatical reduction is in one-to-one correspondence with a linear map de ning mathematical manipulations between vector spaces.
https://academic.oup.com/logcom/article/23/6/1293/980600
Abstract. This article develops a compositional vector-based semantics of subject and object relative pronouns within a categorical framework. Frobenius algebr
https://sites.google.com/site/egrefen/papers-and-talks
E. Grefenstette and M. Sadrzadeh, Experimental Support for a Categorical Compositional Distributional Model of Meaning, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011.
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