Abstract is missing.
- Proceedings of the 3rd Workshop on Continuous Vector Space Models and their CompositionalityAlexandre Allauzen, Edward Grefenstette, Karl Moritz Hermann, Hugo Larochelle, Scott Wen-tau Yih. [doi]
- Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor FactorizationKazuma Hashimoto, Yoshimasa Tsuruoka. 1-11 [doi]
- Recursive Neural Networks Can Learn Logical SemanticsSamuel R. Bowman, Christopher Potts, Christopher D. Manning. 12-21 [doi]
- Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about EntitiesJackie Chi Kit Cheung. 22-31 [doi]
- Joint Semantic Relevance Learning with Text Data and Graph KnowledgeDongxu Zhang, Bin Yuan, Dong Wang 0013, Rong Liu. 32-40 [doi]
- Exploring the effect of semantic similarity for Phrase-based Machine TranslationKunal Sachdeva, Dipti Sharma. 41-47 [doi]
- Incremental Adaptation Strategies for Neural Network Language ModelsAlex Ter-Sarkisov, Holger Schwenk, Fethi Bougares, Loïc Barrault. 48-56 [doi]
- Observed versus latent features for knowledge base and text inferenceKristina Toutanova, Danqi Chen. 57-66 [doi]