Difference between revisions of "Reading table"

Revision as of 07:37, 7 August 2015

Date	Speaker	Materials
2014/10/22	Zhang Dong Xu	Why RNN? PPT paper 1,paper 2
2014/12/8	Liu Rong	Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. pdf
		Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. pdf code
		Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdf code
2015/07/10	Liu Rong	Context-Dependent Translation Selection Using Convolutional Neural Network [1] Syntax-based Deep Matching of Short Texts [2] Convolutional Neural Network Architectures for Matching Natural Language Sentences[3] LSTM: A Search Space Odyssey [4] A Deep Embedding Model for Co-occurrence Learning [5] Text segmentation based on semantic word embeddings[6] semantic parsing via paraphrashings[7]
2015/07/22	Dong Wang	From Word Embeddings To Document Distances pdf Reading list for ICML2015
2015/07/29	Xiaoxi Wang	some related to sequence to sequence[ pdf]
2015/08/05	Dongxu Zhang	some related to sequence to sequence[ pdf]
2015/08/07	Chao Xing	Neural Word Embedding as Implicit Matrix Factorizationpdf

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-* Neural Word Embedding as Implicit Matrix Factorization[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf  [pdf]]
+* Neural Word Embedding as Implicit Matrix Factorization[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]
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