Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Neural Paraphrase Generation with Stacked Residual LSTM Networks
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
Automatic Paraphrase Acquisition from News Articles
Semantic Parsing via Paraphrasing
Automatic generation of syntactically well-formed and semantically appropriate paraphrases
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Chunking based malayalam paraphrase identification using unfolding recursive autoencoders
Monolingual Machine Translation For Paraphrase Generation
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks
ParaPhraser: Russian Paraphrase Corpus and Shared Task
Erratum: “From Paraphrase Database to Compositional Paraphrase Model and Back”
A Continuously Growing Dataset of Sentential Paraphrases
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language
Neural Machine Translation with Reconstruction
A Parallel Recurrent Neural Network for Language Modeling with POS Tags.
Learning To Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
CMU OAQA at TREC 2017 LiveQA: A Neural Dual Entailment Approach for Question Paraphrase Identification
A Deep Neural Network Approach To Parallel Sentence Extraction
Residual Memory Networks in Language Modeling: Improving the Reputation of Feed-Forward Networks.
paranmt - 50m : pushing the limits of paraphrastic sentence embeddings with millions of machine translations .
Requirements engineering paper classification and evaluation criteria: a proposal and a discussion
Novel Major Bacterial Candidate Division within a Municipal Anaerobic Sludge Digester
AutoVNF: An Automatic Resource Sharing Schema for VNF Requests
Wireless Fingerprint Attendance System using ZigBee Technology
Parsing Natural Scenes and Natural Language with Recursive Neural Networks