LSTM（二）：Overview
2020/12/04
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https://pixabay.com/zh/photos/photos-album-photographer-old-256889/
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◎ Abstract
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◎ Introduction
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本論文要解決（它之前研究）的（哪些）問題（弱點）？
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# RNN。
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◎ Method
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解決方法？
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# LSTM。
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具體細節？
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◎ Result
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本論文成果。
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◎ Discussion
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本論文與其他論文（成果或方法）的比較。
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成果比較。
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方法比較。
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◎ Conclusion
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◎ Future Work
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後續相關領域的研究。
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後續延伸領域的研究。
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◎ References
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# RNN。被引用 11946 次。
Elman, Jeffrey L. "Finding structure in time." Cognitive science 14.2 (1990): 179-211.
https://cogsci.ucsd.edu/~rik/courses/readings/elman90-fsit.pdf
# LSTM。被引用 39743 次。
Hochreiter, Sepp, and Jürgen Schmidhuber. "Long short-term memory." Neural computation 9.8 (1997): 1735-1780.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.676.4320&rep=rep1&type=pdf
# Word2vec 1。被引用 18991 次。
Mikolov, Tomas, et al. "Efficient estimation of word representations in vector space." arXiv preprint arXiv:1301.3781 (2013).
https://arxiv.org/pdf/1301.3781.pdf
# Word2vec 2。被引用 23990 次。
Mikolov, Tomas, et al. "Distributed representations of words and phrases and their compositionality." Advances in neural information processing systems. 2013.
https://papers.nips.cc/paper/2013/file/9aa42b31882ec039965f3c4923ce901b-Paper.pdf
# Word2vec 3。被引用 645 次。
Rong, Xin. "word2vec parameter learning explained." arXiv preprint arXiv:1411.2738 (2014).
https://arxiv.org/pdf/1411.2738.pdf
# C&W v1。被引用 5099 次。
Collobert, Ronan, and Jason Weston. "A unified architecture for natural language processing: Deep neural networks with multitask learning." Proceedings of the 25th international conference on Machine learning. 2008.
http://www.cs.columbia.edu/~smaskey/CS6998-Fall2012/supportmaterial/colbert_dbn_nlp.pdf
# C&W v2。被引用 6841 次。本篇論文闡釋了從 Word2vec 繼續發展 Paragraph2vec 的必要性。
Collobert, Ronan, et al. "Natural language processing (almost) from scratch." Journal of machine learning research 12.ARTICLE (2011): 2493-2537.
https://www.jmlr.org/papers/volume12/collobert11a/collobert11a.pdf
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Understanding LSTM Networks -- colah's blog
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
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