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Oladimeji Farri | Sadid A. Hasan | Vivek Datla | Ashequl Qadir | Kathy Lee | Joey Liu | Aaditya Prakash | Vivek Datla | Oladimeji Farri | Joey Liu | Aaditya Prakash | Kathy Lee | Ashequl Qadir | Aaditya (Adi) Prakash
[1] Kathleen F. McCoy,et al. Generation of Single-sentence Paraphrases from Predicate/Argument Structure using Lexico-grammatical Resources , 2003, IWP@ACL.
[2] Chris Callison-Burch,et al. Paraphrasing with Bilingual Parallel Corpora , 2005, ACL.
[3] Vasile Rus,et al. A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics , 2012, BEA@NAACL-HLT.
[4] Rada Mihalcea,et al. UNT: SubFinder: Combining Knowledge Sources for Automatic Lexical Substitution , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).
[5] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[6] Jeffrey Pennington,et al. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection , 2011, NIPS.
[7] Kathleen McKeown,et al. Paraphrasing Questions Using Given and new information , 1983, CL.
[8] Ting Liu,et al. Application-driven Statistical Paraphrase Generation , 2009, ACL.
[9] Geoffrey E. Hinton,et al. Generating Text with Recurrent Neural Networks , 2011, ICML.
[10] Nitin Madnani,et al. Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods , 2010, CL.
[11] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[12] Bowen Zhou,et al. Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation , 2016, AAAI.
[13] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[14] Oren Etzioni,et al. Paraphrase-Driven Learning for Open Question Answering , 2013, ACL.
[15] David Minnen,et al. Full Resolution Image Compression with Recurrent Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[17] Kevin Gimpel,et al. From Paraphrase Database to Compositional Paraphrase Model and Back , 2015, Transactions of the Association for Computational Linguistics.
[18] Hermann Ney,et al. LSTM Neural Networks for Language Modeling , 2012, INTERSPEECH.
[19] Razvan Pascanu,et al. How to Construct Deep Recurrent Neural Networks , 2013, ICLR.
[20] Navdeep Jaitly,et al. Hybrid speech recognition with Deep Bidirectional LSTM , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[21] Kenneth Ward Church,et al. Word2Vec , 2016, Natural Language Engineering.
[22] Nitin Madnani,et al. Re-examining Machine Translation Metrics for Paraphrase Identification , 2012, NAACL.
[23] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[24] Ralph Weischedel,et al. A STUDY OF TRANSLATION ERROR RATE WITH TARGETED HUMAN ANNOTATION , 2005 .
[25] Alex Graves,et al. Generating Sequences With Recurrent Neural Networks , 2013, ArXiv.
[26] Tim Rocktäschel,et al. Generating Natural Language Inference Chains , 2016, ArXiv.
[27] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Geoffrey E. Hinton,et al. Grammar as a Foreign Language , 2014, NIPS.
[29] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
[30] Ming Zhou,et al. Combining Multiple Resources to Improve SMT-based Paraphrasing Model , 2008, ACL.
[31] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[32] Xiangang Li,et al. Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition , 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[33] Alon Lavie,et al. Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability , 2011, ACL.
[34] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[35] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments , 2007, WMT@ACL.
[36] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[37] Hwee Tou Ng,et al. PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts , 2010, EMNLP.
[38] Emiel Krahmer,et al. Paraphrase Generation as Monolingual Translation: Data and Evaluation , 2010, INLG.
[39] Matthew G. Snover,et al. A Study of Translation Edit Rate with Targeted Human Annotation , 2006, AMTA.
[40] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[43] William B. Dolan,et al. Collecting Highly Parallel Data for Paraphrase Evaluation , 2011, ACL.
[44] Chris Callison-Burch,et al. PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification , 2015, ACL.
[45] Chris Quirk,et al. Monolingual Machine Translation for Paraphrase Generation , 2004, EMNLP.
[46] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[47] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[48] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Wenpeng Yin,et al. Convolutional Neural Network for Paraphrase Identification , 2015, NAACL.
[50] Haifeng Wang,et al. Leveraging Multiple MT Engines for Paraphrase Generation , 2010, COLING.
[51] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.