Deep Learning and applications in Startups, CV, Text Mining, NLP
Deep Learning and applications in Startups, CV, Text Mining, NLP
Startups
Text Summarization
- Ryang, Seonggi, and Takeshi Abekawa. "Framework of automatic text summarization using reinforcement learning." In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 256-265. Association for Computational Linguistics, 2012. [not eural-based methods]
- King, Ben, Rahul Jha, Tyler Johnson, Vaishnavi Sundararajan, and Clayton Scott. "Experiments in Automatic Text Summarization Using Deep Neural Networks." Machine Learning (2011).
- Liu, Yan, Sheng-hua Zhong, and Wenjie Li. "Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning." AAAI. 2012.
- Rioux, Cody, Sadid A. Hasan, and Yllias Chali. "Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning." In EMNLP, pp. 681-690. 2014.[not eural-based methods]
- PadmaPriya, G., and K. Duraiswamy. "An Approach For Text Summarization Using Deep Learning Algorithm." Journal of Computer Science 10, no. 1 (2013): 1-9.
- Denil, Misha, Alban Demiraj, and Nando de Freitas. "Extraction of Salient Sentences from Labelled Documents." arXiv preprint arXiv:1412.6815 (2014).
- Kågebäck, Mikael, et al. "Extractive summarization using continuous vector space models." Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC)@ EACL. 2014.
- Denil, Misha, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, and Nando de Freitas. "Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network." arXiv preprint arXiv:1406.3830 (2014).
- Cao, Ziqiang, Furu Wei, Li Dong, Sujian Li, and Ming Zhou. "Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization." (AAAI'2015).
- Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. "Toward Abstractive Summarization Using Semantic Representations." NAACL 2015
- Wenpeng Yin， Yulong Pei. "Optimizing Sentence Modeling and Selection for Document Summarization." IJCAI 2015
- He, Zhanying, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, and Xiaofei He. "Document Summarization Based on Data Reconstruction." In AAAI. 2012.
- Liu, He, Hongliang Yu, and Zhi-Hong Deng. "Multi-Document Summarization Based on Two-Level Sparse Representation Model." In Twenty-Ninth AAAI Conference on Artificial Intelligence. 2015.
- Jin-ge Yao, Xiaojun Wan, Jianguo Xiao. "Compressive Document Summarization via Sparse Optimization." IJCAI 2015
- Piji Li, Lidong Bing, Wai Lam, Hang Li, and Yi Liao. "Reader-Aware Multi-Document Summarization via Sparse Coding." IJCAI 2015.
- Lopyrev, Konstantin. "Generating News Headlines with Recurrent Neural Networks." arXiv preprint arXiv:1512.01712 (2015). [The first paragraph as document.]
- Alexander M. Rush, Sumit Chopra, Jason Weston. "A Neural Attention Model for Abstractive Sentence Summarization." EMNLP 2015. [sentence compression]
- Nallapati, Ramesh, Bing Xiang, and Bowen Zhou. "Sequence-to-Sequence RNNs for Text Summarization." arXiv preprint arXiv:1602.06023 (2016). [sentence compression]
- Sumit Chopra, Alexander M. Rush and Michael Auli. "Abstractive Summarization with Attentive Recurrent Neural Networks" NAACL 2016.
- Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li. "Incorporating Copying Mechanism in Sequence-to-Sequence Learning." arXiv:1603.06393. (2016)
- Jianpeng Cheng, Mirella Lapata. "Neural Summarization by Extracting Sentences and Words". arXiv:1603.07252. (2016)
- Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei. "AttSum: Joint Learning of Focusing and Summarization with Neural Attention". arXiv:1604.00125 (2016)
- Ayana, Shiqi Shen, Zhiyuan Liu, Maosong Sun. "Neural Headline Generation with Minimum Risk Training". arXiv:1604.01904 (2016)
- Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei and Hui Jiang. "A Neural Network for Document Summarization." IJCAI 2016.
Opinion Summarization
- Wu, Haibing, Yiwei Gu, Shangdi Sun, and Xiaodong Gu. "Aspect-based Opinion Summarization with Convolutional Neural Networks." arXiv preprint arXiv:1511.09128 (2015).
- Irsoy, Ozan, and Claire Cardie. "Opinion Mining with Deep Recurrent Neural Networks." In EMNLP, pp. 720-728. 2014.
Sentence Modelling
- Kalchbrenner, Nal, Edward Grefenstette, and Phil Blunsom. "A convolutional neural network for modelling sentences." arXiv preprint arXiv:1404.2188 (2014).
- Kim, Yoon. "Convolutional neural networks for sentence classification." arXiv preprint arXiv:1408.5882 (2014).
- Le, Quoc V., and Tomas Mikolov. "Distributed representations of sentences and documents." arXiv preprint arXiv:1405.4053 (2014).
- Yin, Wenpeng, Hinrich Schütze, Bing Xiang, and Bowen Zhou. "ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs." arXiv preprint arXiv:1512.05193 (2015).
Reasoning
- Peng, Baolin, Zhengdong Lu, Hang Li, and Kam-Fai Wong. "Towards Neural Network-based Reasoning." arXiv preprint arXiv:1508.05508 (2015).
Stock Prediction
- Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan. "Deep Learning for Event-Driven Stock Prediction". IJCAI 2015.
- Si, Jianfeng, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, and Huayi Li. "Exploiting Social Relations and Sentiment for Stock Prediction." EMNLP 2014.
- Ding, Xiao, Yue Zhang, Ting Liu, and Junwen Duan. "Using Structured Events to Predict Stock Price Movement: An Empirical Investigation." EMNLP 2014.
- Bollen, Johan, Huina Mao, and Xiaojun Zeng. "Twitter mood predicts the stock market." Journal of Computational Science 2, no. 1 (2011): 1-8.
- Hengjian Jia. "Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction." arXiv:1603.07893. (2016)
GO
- Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser et al. "Mastering the game of Go with deep neural networks and tree search." Nature 529, no. 7587 (2016): 484-489.
- Tian, Yuandong, and Yan Zhu. "Better Computer Go Player with Neural Network and Long-term Prediction." arXiv preprint arXiv:1511.06410 (2015).
Neural Structures
- Srivastava, Rupesh Kumar, Klaus Greff, and Jürgen Schmidhuber. "Highway networks." arXiv preprint arXiv:1505.00387 (2015).
- Srivastava, Rupesh K., Klaus Greff, and Jürgen Schmidhuber. "Training very deep networks." In Advances in Neural Information Processing Systems, pp. 2368-2376. 2015.
- He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Deep Residual Learning for Image Recognition." arXiv preprint arXiv:1512.03385 (2015).
- Courbariaux, Matthieu, and Yoshua Bengio. "Binarynet: Training deep neural networks with weights and activations constrained to+ 1 or-1." arXiv preprint arXiv:1602.02830 (2016).
- Jiatao Gu, Zhengdong Lu, Hang Li, Victor O.K. Li. "Incorporating Copying Mechanism in Sequence-to-Sequence Learning." arXiv:1603.06393. (2016)
Music Generation
Computational Biology
- Awesome DeepBio by Gökçen Eraslan
