暂无分享,去创建一个
[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] Regina Barzilay,et al. Extracting Paraphrases from a Parallel Corpus , 2001, ACL.
[3] Chris Quirk,et al. Monolingual Machine Translation for Paraphrase Generation , 2004, EMNLP.
[4] Chris Quirk,et al. Unsupervised Construction of Large Paraphrase Corpora: Exploiting Massively Parallel News Sources , 2004, COLING.
[5] Chris Callison-Burch,et al. Paraphrasing with Bilingual Parallel Corpora , 2005, ACL.
[6] Chris Brockett,et al. Automatically Constructing a Corpus of Sentential Paraphrases , 2005, IJCNLP.
[7] Philipp Koehn,et al. Europarl: A Parallel Corpus for Statistical Machine Translation , 2005, MTSUMMIT.
[8] Philipp Koehn,et al. Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.
[9] Haifeng Wang,et al. Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora , 2008, ACL.
[10] Andreas Eisele,et al. MultiUN: A Multilingual Corpus from United Nation Documents , 2010, LREC.
[11] Haifeng Wang,et al. Leveraging Multiple MT Engines for Paraphrase Generation , 2010, COLING.
[12] David Kauchak,et al. Simple English Wikipedia: A New Text Simplification Task , 2011, ACL.
[13] Kenneth Heafield,et al. KenLM: Faster and Smaller Language Model Queries , 2011, WMT@EMNLP.
[14] Jeffrey Pennington,et al. Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection , 2011, NIPS.
[15] Preslav Nakov,et al. Optimizing for Sentence-Level BLEU+1 Yields Short Translations , 2012, COLING.
[16] Eneko Agirre,et al. SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity , 2012, *SEMEVAL.
[17] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[18] Chris Callison-Burch,et al. PPDB: The Paraphrase Database , 2013, NAACL.
[19] Eneko Agirre,et al. *SEM 2013 shared task: Semantic Textual Similarity , 2013, *SEMEVAL.
[20] M. Marelli,et al. SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment , 2014, *SEMEVAL.
[21] Yoshua Bengio,et al. Not All Neural Embeddings are Born Equal , 2014, ArXiv.
[22] Claire Cardie,et al. SemEval-2014 Task 10: Multilingual Semantic Textual Similarity , 2014, *SEMEVAL.
[23] Chris Callison-Burch,et al. Extracting Lexically Divergent Paraphrases from Twitter , 2014, TACL.
[24] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[25] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[26] Chris Callison-Burch,et al. The Multilingual Paraphrase Database , 2014, LREC.
[27] Yoshua Bengio,et al. On Using Very Large Target Vocabulary for Neural Machine Translation , 2014, ACL.
[28] Yoshua Bengio,et al. Embedding Word Similarity with Neural Machine Translation , 2014, ICLR.
[29] Angeliki Lazaridou,et al. Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model , 2015, ACL.
[30] Claire Cardie,et al. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability , 2015, *SEMEVAL.
[31] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Kevin Gimpel,et al. From Paraphrase Database to Compositional Paraphrase Model and Back , 2015, Transactions of the Association for Computational Linguistics.
[34] Chris Callison-Burch,et al. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) , 2015, *SEMEVAL.
[35] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[36] Kevin Gimpel,et al. Charagram: Embedding Words and Sentences via Character n-grams , 2016, EMNLP.
[37] K. Pala,et al. Text, Speech and Dialogue: 19th International Conference TSD 2016, Brno, Czech Republic, September 12-16, 2016 , 2016 .
[38] Ondrej Dusek,et al. CzEng 1.6: Enlarged Czech-English Parallel Corpus with Processing Tools Dockered , 2016, TSD.
[39] Rico Sennrich,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[40] Felix Hill,et al. Learning Distributed Representations of Sentences from Unlabelled Data , 2016, NAACL.
[41] Kevin Gimpel,et al. Towards Universal Paraphrastic Sentence Embeddings , 2015, ICLR.
[42] Eneko Agirre,et al. SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation , 2016, *SEMEVAL.
[43] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[44] Rico Sennrich,et al. Improving Neural Machine Translation Models with Monolingual Data , 2015, ACL.
[45] Sanjeev Arora,et al. A Simple but Tough-to-Beat Baseline for Sentence Embeddings , 2017, ICLR.
[46] Kevin Gimpel,et al. Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings , 2017, ACL.
[47] Mirella Lapata,et al. Paraphrasing Revisited with Neural Machine Translation , 2017, EACL.