Paraphrase identification using collaborative adversarial networks

[1]  Jeffrey Pennington,et al.  GloVe: Global Vectors for Word Representation , 2014, EMNLP.

[2]  Qingsheng Li,et al.  Calculation of Sentence Semantic Similarity Based on Syntactic Structure , 2015 .

[3]  Anant V. Nimkar,et al.  A Hybrid Deep Learning Architecture for Paraphrase Identification , 2018, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

[4]  Amita Sharma,et al.  Designing optimal architecture of recurrent neural network (LSTM) with particle swarm optimization technique specifically for educational dataset , 2019 .

[5]  Kenli Li,et al.  An Efficient Framework for Sentence Similarity Modeling , 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[6]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[7]  George D. C. Cavalcanti,et al.  Combining sentence similarities measures to identify paraphrases , 2018, Comput. Speech Lang..

[8]  Hrant Khachatrian,et al.  Natural Language Inference over Interaction Space: ICLR 2018 Reproducibility Report , 2018, ArXiv.

[9]  Liuchen Chang,et al.  Genetic Optimization Method of Pantograph and Catenary Comprehensive Monitor Status Prediction Model Based on Adadelta Deep Neural Network , 2019, IEEE Access.

[10]  Xiaodong Liu,et al.  Multi-Task Deep Neural Networks for Natural Language Understanding , 2019, ACL.

[11]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[12]  Wael Hassan Gomaa,et al.  A Hybrid Model for Paraphrase Detection Combines pros of Text Similarity with Deep Learning , 2019, International Journal of Computer Applications.

[13]  Feng Ji,et al.  Simple and Effective Text Matching with Richer Alignment Features , 2019, ACL.

[14]  Zhiguo Wang,et al.  Bilateral Multi-Perspective Matching for Natural Language Sentences , 2017, IJCAI.

[15]  Nick Craswell.  Mean Reciprocal Rank , 2009, Encyclopedia of Database Systems.

[16]  Steven Bird,et al.  NLTK: The Natural Language Toolkit , 2002, ACL.

[17]  Ming Ouyang,et al.  Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU , 2009, 2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing.

[18]  Manisha Sharma,et al.  Optimizing semantic LSTM for spam detection , 2019 .

[19]  Vijay K. Mago,et al.  Challenging the Boundaries of Unsupervised Learning for Semantic Similarity , 2019, IEEE Access.

[20]  Qiang Ye,et al.  Learning Multi-Domain Adversarial Neural Networks for Text Classification , 2019, IEEE Access.

[21]  D. Thenmozhi,et al.  Paraphrase Identification by Using Clause-Based Similarity Features and Machine Translation Metrics , 2016, Comput. J..

[22]  Jakob Uszkoreit,et al.  Neural Paraphrase Identification of Questions with Noisy Pretraining , 2017, SWCN@EMNLP.

[23]  Mahmoud Al-Ayyoub,et al.  Paraphrase identification and semantic text similarity analysis in Arabic news tweets using lexical, syntactic, and semantic features , 2017, Inf. Process. Manag..

[24]  Kamel Smaïli,et al.  Manhattan Siamese LSTM for Question Retrieval in Community Question Answering , 2019, OTM Conferences.

[25]  Heri Ramampiaro,et al.  A Deep Network Model for Paraphrase Detection in Short Text Messages , 2017, Inf. Process. Manag..

[26]  Laura Graesser,et al.  Natural Language Understanding with the Quora Question Pairs Dataset , 2019, ArXiv.