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sentence_and_document_modeling.md

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Sentence and Document Modeling

Phrase Modeling

  • Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeff Dean, "Distributed Representations of Words and Phrases and their Compositionality," pdf NIPS 2013
  • [socher's]
  • [cutting RNN trees] Christian Scheible, Hinrich Schutze. "Cutting Recursive Autoencoder Trees" pdf CoRR abs/1301.2811 (2013)
  • [composition operators, mental-related similarity] Gershman, S. J., & Tenenbaum, J. B. "Phrase similarity in humans and machines". pdf 2015 Proceedings of the 37th Annual Conference of the Cognitive Science Society, Proceedings of the 37th Annual Conference of the Cognitive Science Society.
  • [compositional, feature] Mo Yu, Mark Dredze. "Learning Composition Models for Phrase Embeddings". pdf TACL 3: 227-242 (2015).

Sentence Modeling

CNNs: convolution neural networks for sentence modeling

  • [convnet for sentences, dynamic, k-max pooling, stacked] Nal Kalchbrenner, Edward Grefenstette and Phil Blunsom. "A Convolutional Neural Network for Modelling Sentences" pdf ACL 2014.
  • [2D convolutional] Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas. "Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network" pdf in CoRR 2014.
  • [unsupervised pretraining for CNN] Wenpeng Yin and Hinrich Schutze. "Convolutional Neural Network for Paraphrase Identification." pdf NAACL 2015
  • [convolute better with word order, parallel-CNN, different region] Rie Johnson and Tong Zhang. "Effective Use of Word Order for Text Categorization with Convolutional Neural Networks" pdf
  • Hermann, Karl Moritz, and Phil Blunsom. "Multilingual Models for Compositional Distributed Semantics." pdf ACL 2014
  • Hermann, Karl Moritz, and Phil Blunsom. "Multilingual Distributed Representations without Word Alignment." ACL 2014
  • Kim, Yoon. "Convolutional Neural Networks for Sentence Classification. “ arxiv : 2014
  • Le, Quoc V., and Tomas Mikolov. "Distributed Representations of Sentences and Documents." ICML (2014).
  • [ARC-I, ARC-II, 2D convolutional, order perserving] Baotian Hu, Zhengdong Lu, Hang Li, etc. “Convolutional Neural Network Architectures for Matching Natural Language Sentences.” pdf NIPS 2014
  • [tree CNN + recursive, structure] Phong Le and Willem Zuidema. "The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization". pdf. EMNLP 2015.

RNNs and their variants

  • [RNN with GRUs] Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler, "Skip-Thought Vectors" pdf NIPS 2015
  • [tree CNN + Recursive, structure] Phong Le and Willem Zuidema. "The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization". pdf. EMNLP 2015.

other NN architectures

  • [DAN, average, simple but effective] Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III, "Deep Unordered Composition Rivals Syntactic Methods for Text Classification" pdf ACL 2015

Document Modeling

  • [2D convolutional] Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas. "Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network" pdf in CoRR 2014.
  • Hermann, Karl Moritz, and Phil Blunsom. "Multilingual Models for Compositional Distributed Semantics." pdf ACL 2014
  • [deep RBM] Nitish Srivastava, Ruslan R Salakhutdinov, Geoffrey E. Hinton. "Modeling documents with a deep boltzmann machine." pdf in Uncertainty in Artificial Intelligence, 2013
  • Chaochao Huang, Xipeng Qiu, Xuanjing Huang, "Text Classification with Document Embeddings" pdf Springer 2014
  • Le, Quoc V., and Tomas Mikolov. "Distributed Representations of Sentences and Documents." ICML (2014).
  • [document-level language model] Rui Lin, Shujie Liu, Muyun Yang, et al. "Hierarchical Recurrent Neural Network for Document Modeling". 2015. In Proceedings of EMNLP. [pdf]
  • [convolutional] Duyu Tang, Bing Qin, and Ting Liu. "Document Modeling with Gated Recurrent Neural Network for Sentiment Classification". 2015. In Proceedings of EMNLP. [pdf]
  • [information flow, attention] Yangfeng Ji, Trevor Cohn, Lingpeng Kong, et al. "Document Context Language Models". 2015. arXiv preprint. In submission to ICLR 2016. [pdf]