DISSECT - DIStributional SEmantics Composition Toolkit
作者： Georgiana Dinu , Marco Baroni
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摘要: We introduce DISSECT, a toolkit to build and explore computational models of word, phrase sentence meaning based on the principles distributional semantics. The focuses in particular compositional meaning, implements number composition methods that have been proposed literature. Furthermore, DISSECT can be useful researchers practitioners who need word (without composition) as well, it supports various construct semantic spaces, assessing similarity even evaluating against benchmarks, are independent infrastructure.
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ntu.edu.tw 参考文章(18)
Stefan Thater, Georgiana Dinu, Soeren Laue, A comparison of models of word meaning in context north american chapter of the association for computational linguistics. pp. 611- 615 ,(2012)
Radim Řehůřek, Petr Sojka, Software Framework for Topic Modelling with Large Corpora University of Malta. ,(2010)
Katrin Erk, Vector Space Models of Word Meaning and Phrase Meaning: A Survey Language and Linguistics Compass. ,vol. 6, pp. 635- 653 ,(2012) , 10.1002/LNCO.362
Roberto Zamparelli, Marco Baroni, Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space empirical methods in natural language processing. pp. 1183- 1193 ,(2010)
P. D. Turney, P. Pantel, From frequency to meaning: vector space models of semantics Journal of Artificial Intelligence Research. ,vol. 37, pp. 141- 188 ,(2010) , 10.1613/JAIR.2934
Brody Huval, Richard Socher, Andrew Y. Ng, Christopher D. Manning, Semantic Compositionality through Recursive Matrix-Vector Spaces empirical methods in natural language processing. pp. 1201- 1211 ,(2012)
Stephen Clark, Vector Space Models of Lexical Meaning John Wiley & Sons, Ltd. pp. 493- 522 ,(2015) , 10.1002/9781118882139.CH16
Katrin Erk, Sebastian Padó, A structured vector space model for word meaning in context Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08. pp. 897- 906 ,(2008) , 10.3115/1613715.1613831
Jeff Mitchell, Mirella Lapata, Composition in Distributional Models of Semantics Cognitive Science. ,vol. 34, pp. 1388- 1429 ,(2010) , 10.1111/J.1551-6709.2010.01106.X
Fabio Massimo Zanzotto, Francesca Fallucchi, Ioannis Korkontzelos, Suresh Manandhar, Estimating Linear Models for Compositional Distributional Semantics international conference on computational linguistics. pp. 1263- 1271 ,(2010)