Workshop on Continuous Vector Space Models and their Compositionality (2015)
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality
Alexandre Allauzen
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Edward Grefenstette
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Karl Moritz Hermann
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Hugo Larochelle
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Scott Wen-tau Yih
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto
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Yoshimasa Tsuruoka
Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman
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Christopher Potts
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Christopher D. Manning
Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities
Jackie Chi Kit Cheung
Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang
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Bin Yuan
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Dong Wang
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Rong Liu
Exploring the effect of semantic similarity for Phrase-based Machine Translation
Kunal Sachdeva
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Dipti Sharma
Incremental Adaptation Strategies for Neural Network Language Models
Alex Ter-Sarkisov
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Holger Schwenk
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Fethi Bougares
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Loïc Barrault
Observed versus latent features for knowledge base and text inference
Kristina Toutanova
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Danqi Chen