Cutting Recursive Autoencoder Trees

Collins, M., 1999. Head-driven statistical models for natural language parsing. Ph.D. thesis, University of Pennsylvania

1999

Earlier work this paper cites.

Kanerva, P., Kristoferson, J., Holst, A., 2000. Random indexing of text samples for latent semantic analysis. In: In Proceedings of the 22nd Annual Conference of the Cognitive Science Society. Erlbaum, pp. 103–6

2000

Earlier work this paper cites.

Pang, B., Lee, L., June 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05). Association for Computational Linguistics, Ann Arbor, Michigan, pp. 115–124

2005

Earlier work this paper cites.

McDonald, R., 2006. Discriminative learning and spanning tree algorithms for dependency parsing. Ph.D. thesis, University of Pennsylvania

2006

Earlier work this paper cites.

Polanyi, L., Zaenen, A., 2006. Contextual valence shifters. Computing attitude and affect in text: Theory and applications, 1–10

2006

Cited alongside, same era.

Deselaers, T., Hasan, S., Bender, O., Ney, H., 2009. A deep learning approach to machine transliteration. In: Proceedings of the Fourth Workshop on Statistical Machine Translation. StatMT ’09. Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 233–241

2009

Cited alongside, same era.

Socher, R., Manning, C., Ng, A., 2010. Learning continuous phrase representations and syntactic parsing with recursive neural networks. In: Proceedings of the NIPS-2010 Deep Learning and Unsupervised Feature Learning Workshop

2010

Cited alongside, same era.

Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P., Nov. 2011. Natural language processing (almost) from scratch. J. Mach. Learn. Res. 999888, 2493–2537

2011

Cited alongside, same era.

Glorot, X., Bordes, A., Bengio, Y., June 2011. Domain adaptation for large-scale sentiment classification: A deep learning approach. In: Getoor, L., Scheffer, T. (Eds.), Proceedings of the 28th International Conference on Machine Learning (ICML-11). ICML ’11. ACM, New York, NY, USA, pp. 513–520

2011

Later among the works it cites.

Socher, R., Pennington, J., Huang, E. H., Ng, A. Y., Manning, C. D., 2011. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2011

Later among the works it cites.

Tu, Z., He, Y., Foster, J., van Genabith, J., Liu, Q., Lin, S., 2012. Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2. ACL ’12. Association for Computational Linguistics, Stroudsburg, PA, USA, pp. 338–343

2012

Later among the works it cites.