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heuristicus / paper-utils

Utilities for document similarity and reference extraction for research papers
MIT License
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Named references not correctly separated in some cases #6

Open heuristicus opened 6 years ago

heuristicus commented 6 years ago 
INFO:root:Hong et al. - 2017 - Weakly Supervised Semantic Segmentation using Web-Crawled Videos
References start at 740, end at 821
Total references: 27
Reference type seems to be ReferenceType.NAMED
Sequences: [(25, 741, 818, 0.3246753246753247), (24, 78, 103, 0.96), (6, 149, 159, 0.6), (6, 285, 298, 0.46153846153846156), (4, 39, 43, 1.0), (4, 358, 362, 1.0), (4, 386, 390, 1.0)]
Square refs: 0, dotted refs: 0, named refs: 84, trigraph refs: 0

INFO:root:4: Collobert, R.; Kavukcuoglu, K.; and Farabet, C. 2011. Torch7: A matlab-like environment for machine learning. In BigLearn, NIPS Workshop. Dai, J.; He, K.; and Sun, J. 2015. Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation. In ICCV.
heuristicus commented 6 years ago 
INFO:root:Sabour, Frosst, Hinton - 2017 - Dynamic Routing Between Capsules
References start at 417, end at 466
Total references: 14
Reference type seems to be ReferenceType.NAMED
Sequences: [(19, 420, 463, 0.4418604651162791), (3, 239, 248, 0.3333333333333333)]
Square refs: 23, dotted refs: 0, named refs: 34, trigraph refs: 0

INFO:root:1: Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467, 2016.
INFO:root:2: Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755, 2014. Jia-Ren Chang and Yong-Sheng Chen. Batch-normalized maxout network in network. arXiv preprint arXiv:1511.02583, 2015.
INFO:root:3: Dan C Cireşan, Ueli Meier, Jonathan Masci, Luca M Gambardella, and Jürgen Schmidhuber. Highperformance neural networks for visual object classification. arXiv preprint arXiv:1102.0183, 2011.
INFO:root:4: Ian J Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, and Vinay Shet. Multi-digit number recognition from street view imagery using deep convolutional neural networks. arXiv preprint arXiv:1312.6082, 2013.
INFO:root:5: Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, and Jürgen Schmidhuber. Tagger: Deep unsupervised perceptual grouping. In Advances in Neural Information Processing
INFO:root:6: Systems, pages 4484–4492, 2016. Geoffrey E Hinton. Shape representation in parallel systems. In International Joint Conference on Artificial Intelligence Vol 2, 1981a.
INFO:root:7: Geoffrey E Hinton. A parallel computation that assigns canonical object-based frames of reference. In Proceedings of the 7th international joint conference on Artificial intelligence-Volume 2, pages 683–685. Morgan Kaufmann Publishers Inc., 1981b.
INFO:root:8: Geoffrey E Hinton, Zoubin Ghahramani, and Yee Whye Teh. Learning to parse images. In Advancesin neural information processing systems, pages 463–469, 2000.Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang. Transforming auto-encoders. In InternationalConference on Artificial Neural Networks, pages 44–51. Springer, 2011.Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu. Spatial transformer
INFO:root:9: Yann LeCun, Corinna Cortes, and Christopher JC Burges. The mnist database of handwritten digits, 1998.
INFO:root:10: Yann LeCun, Fu Jie Huang, and Leon Bottou. Learning methods for generic object recognition with invariance to pose and lighting. In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, volume 2, pages II–104. IEEE, 2004.
INFO:root:11: Yuval Netzer, Tao Wang, Adam Coates, Alessandro Bissacco, Bo Wu, and Andrew Y Ng. Reading digits in natural images with unsupervised feature learning. In NIPS workshop on deep learning
INFO:root:12: and unsupervised feature learning, volume 2011, page 5, 2011. Bruno A Olshausen, Charles H Anderson, and David C Van Essen. A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. Journal of
INFO:root:13: Neuroscience, 13(11):4700–4719, 1993.Denis G Pelli, Melanie Palomares, and Najib J Majaj. Crowding is unlike ordinary masking:Distinguishing feature integration from detection. Journal of vision, 4(12):12–12, 2004.Li Wan, Matthew D Zeiler, Sixin Zhang, Yann LeCun, and Rob Fergus. Regularization of neuralnetworks using dropconnect. In Proceedings of the 30th International Conference on Machine
INFO:root:14: 
              Matthew D Zeiler and Rob Fergus. Stochastic pooling for regularization of deep convolutional neural networks. arXiv preprint arXiv:1301.3557, 2013.