Workshop on Continuous Vector Space Models and their Compositionality (2015)

Venue:: CVSC

Volumes

Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality 8 papers

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Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Alexandre Allauzen | Edward Grefenstette | Karl Moritz Hermann | Hugo Larochelle | Scott Wen-tau Yih

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Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto | Yoshimasa Tsuruoka

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Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman | Christopher Potts | Christopher D. Manning

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Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung

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Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang | Bin Yuan | Dong Wang | Rong Liu

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Exploring the effect of semantic similarity for Phrase-based Machine Translation
Kunal Sachdeva | Dipti Sharma

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Incremental Adaptation Strategies for Neural Network Language Models
Alex Ter-Sarkisov | Holger Schwenk | Fethi Bougares | Loïc Barrault

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Observed versus latent features for knowledge base and text inference
Kristina Toutanova | Danqi Chen