“Reading table”版本间的差异

2015年7月10日 (五) 06:42的版本

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		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]

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 |  Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]
+|-
+|rowspan=1|2015/07/10 || rowspan='1'| || Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
+|Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
+Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
+LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
+A Deep Embedding Model for Co-occurrence Learning  [http://arxiv.org/abs/1504.02824]
+Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
+semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
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 |}