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Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
Alexandre Allauzen | Hugo Larochelle | Christopher Manning | Richard Socher

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Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
Jayant Krishnamurthy | Tom Mitchell

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Learning from errors: Using vector-based compositional semantics for parse reranking
Phong Le | Willem Zuidema | Remko Scha

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A Structured Distributional Semantic Model : Integrating Structure with Semantics
Kartik Goyal | Sujay Kumar Jauhar | Huiying Li | Mrinmaya Sachan | Shashank Srivastava | Eduard Hovy

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Letter N-Gram-based Input Encoding for Continuous Space Language Models
Henning Sperr | Jan Niehues | Alex Waibel

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Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to “Parse”?
Fabio Massimo Zanzotto | Lorenzo Dell’Arciprete

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General estimation and evaluation of compositional distributional semantic models
Georgiana Dinu | Nghia The Pham | Marco Baroni

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Applicative structure in vector space models
Márton Makrai | David Mark Nemeskey | András Kornai

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Determining Compositionality of Expresssions Using Various Word Space Models and Methods
Lubomír Krčmář | Karel Ježek | Pavel Pecina

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“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann | Edward Grefenstette | Phil Blunsom

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Towards Dynamic Word Sense Discrimination with Random Indexing
Hans Moen | Erwin Marsi | Björn Gambäck

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A Generative Model of Vector Space Semantics
Jacob Andreas | Zoubin Ghahramani

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Aggregating Continuous Word Embeddings for Information Retrieval
Stéphane Clinchant | Florent Perronnin

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Answer Extraction by Recursive Parse Tree Descent
Christopher Malon | Bing Bai

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Recurrent Convolutional Neural Networks for Discourse Compositionality
Nal Kalchbrenner | Phil Blunsom