Fetching the paper…
Reading the bibliography…
The ability to reason with natural language is a fundamental prerequisite for many NLP tasks such as information extraction, machine translation and question answering.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu · 2002
Earlier work this paper cites.
The pascal recognising textual entailment challenge
I. Dagan, O. Glickman, and B. Magnini · 2006
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. V. Le · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2015
Cited alongside, same era.
A large annotated corpus for learning natural language inference
S. R. Bowman, G. Angeli, C. Potts, and C. D. Manning · 2015
Cited alongside, same era.
Teaching machines to read and comprehend
K. M. Hermann, T. Kocisky, E. Grefenstette, L. Espeholt, W. Kay, M. Suleyman, and P. Blunsom · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
A. M. Rush, S. Chopra, and J. Weston · 2015
Cited alongside, same era.
Grammar as a foreign language
O. Vinyals, Ł. Kaiser, T. Koo, S. Petrov, I. Sutskever, and G. Hinton · 2015
Cited alongside, same era.
A fast unified model for parsing and sentence understanding
S. R. Bowman, J. Gauthier, A. Rastogi, R. Gupta, C. D. Manning, and C. Potts · 2016
Closest in time.
Long short-term memory-networks for machine reading
J. Cheng, L. Dong, and M. Lapata · 2016
Closest in time.
Reasoning about entailment with neural attention
T. Rocktäschel, E. Grefenstette, K. M. Hermann, T. Kočiskỳ, and P. Blunsom · 2016
Closest in time.
Order-embeddings of images and language
I. Vendrov, R. Kiros, S. Fidler, and R. Urtasun · 2016
Closest in time.
Learning Natural Language Inference with LSTM
S. Wang and J. Jiang · 2016
Closest in time.
Towards ai-complete question answering: A set of prerequisite toy tasks
J. Weston, A. Bordes, S. Chopra, and T. Mikolov · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Closest in time.