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Papers

  • Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings (pp. 1433–1443). Presented at the EMNLP.
  • Hierarchical Multiscale Recurrent Neural Networks. arXiv.org.
  • Recurrent Batch Normalization. arXiv.org.
  • Gaussian LDA for Topic Models with Word Embeddings (pp. 795–804). Presented at the ACL.
  • LSTM: A Search Space Odyssey. arXiv.org.
  • Deep Residual Learning for Image Recognition. arXiv.org.
  • Identity Mappings in Deep Residual Networks. arXiv.org.
  • Named Entity Recognition with Bidirectional LSTM-CNNs. arXiv.org.
  • Zoneout - Regularizing RNNs by Randomly Preserving Hidden Activations. arXiv.org.
  • FractalNet - Ultra-Deep Neural Networks without Residuals.
  • When Are Tree Structures Necessary for Deep Learning of Representations? Presented at the EMNLP.
  • A Critical Review of Recurrent Neural Networks for Sequence Learning. arXiv.org.
  • Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings (pp. 1433–1443). Presented at the EMNLP.
  • End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. Presented at the ACL.
  • Recursive deep models for semantic compositionality over a sentiment treebank. Presented at the EMNLP.
  • Highway Networks. arXiv.org.
  • Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks (pp. 1556–1566). Presented at the ACL.
  • Aspect Level Sentiment Classification with Deep Memory Network. Presented at the EMNLP.
  • Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis. arXiv.org.
  • Aspect-based Opinion Summarization with Convolutional Neural Networks. arXiv.org.
  • Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction (Vol. cs.CL). Presented at the IJCAI.
  • Recurrent Highway Networks. arXiv.org.