Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality

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

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

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

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

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

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

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

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

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

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

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

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

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

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