Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, and Janyce Wiebe. 2014. Semeval-2014 task 10: Multilingual Semantic Textual Similarity. In *Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014)*, pages 81–91.

Marco Baroni and Roberto Zamparelli. 2010. Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In *Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing*, pages 1183–1193. Association for Computational Linguistics.

Samuel R Bowman. 2013. Can recursive neural tensor networks learn logical reasoning? *arXiv:1312.6192*.

Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder decoder for Statistical Machine Translation. *arXiv preprint arXiv:1406.1078*.

Thomas L Griffiths, Mark Steyvers, and Joshua B Tenenbaum. 2007. Topics in Semantic Representation. *Psychological review*, 114(2):211.

Felix Hill, Kyunghyun Cho, Anna Korhonen, and Yoshua Bengio. 2015. Learning to Understand Phrases by Embedding the Dictionary. *Transactions of the Association for Computational Linguistics.*

Felix Hill, Kyunghyun Cho, and Anna Korhonen. 2016. Learning Distributed Representations of Sentences from Unlabelled Data. *arXiv:1602.03483*.

Mohit Iyyer, Jordan L Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, and Hal Daumé III. 2014. A Neural Network for Factoid Question Answering over Paragraphs. In *EMNLP*, pages 633–644.

Diederik Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. *arXiv:1412.6980*.

Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015. Skip-Thought Vectors. In *Advances in neural information processing systems*, pages 3294–3302.

Ankit Kumar, Ozan Irsoy, Jonathan Su, James Bradbury, Robert English, Brian Pierce, Peter Ondruska, Ishaan Gulrajani, and Richard Socher. 2015. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. *arXiv preprint arXiv:1506.07285*.

Quoc V Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents. In *ICML*, volume 14, pages 1188–1196.

Jiwei Li, Minh-Thang Luong, Dan Jurafsky, and Eudard Hovy. 2015. When Are Tree Structures Necessary for Deep Learning of Representations? *arXiv:1503.00185*.

Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. 2014. A SICK cure for the evaluation of compositional distributional semantic models. In *LREC*, pages 216–223.

Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. *arXiv preprint arXiv:1301.3781*.

Romain Paulus, Richard Socher, and Christopher D Manning. 2014. Global belief recursive neural networks. In *Advances in Neural Information Processing Systems*, pages 2888–2896.

Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global Vectors for Word Representation. In *EMNLP*, volume 14, pages 1532–43.

Sent2Vec encoder and training code from the paper “Skip-Thought Vectors”. https://github.com/ryankiros/skip-thoughts. Accessed: 2017-07-07.

Richard Socher, Eric H Huang, Jeffrey Pennin, Christopher D Manning, and Andrew Y Ng. 2011. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection. In *Advances in Neural Information Processing Systems*, pages 801– 809.

Richard Socher, Brody Huval, Christopher D Manning, and Andrew Y Ng. 2012. Semantic Compositionality through Recursive Matrix-vector Spaces. In *Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning*, pages 1201–1211. Association for Computational Linguistics.

Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts. 2013. Recursive Deep Models for Semantic Compositionality over a Sentiment Treebank. In *Proceedings of the conference on empirical methods in natural language processing (EMNLP)*, volume 1631, page 1642. Citeseer.

Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015. Improved Semantic Representations from Tree-structured Long Short-term Memory Networks. *ACL*.

Theano Development Team. 2016. Theano: A Python framework for fast computation of mathematical expressions. *arXiv e-prints*, abs/1605.02688, May.

Yukun Zhu, Ryan Kiros, Richard Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. In *arXiv preprint arXiv:1506.06724*.