Merge pull request #1 from BUPT/master

update the fork code from BUPT master to local
BUPT · Oct 13, 2018 · b37d771 · b37d771
2 parents 5f1f113 + 4ff4e40
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diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/docs/_sidebar.md b/docs/_sidebar.md
@@ -21,15 +21,18 @@
     - [Question Answering over Freebase with Multi-Column Convolutional Neural Networks，2015](papers/question-answering-over-freebase-with-multi-column-convolutional-neural-networks-2015.md)
     - [Improving question answering by commonsense-based pre-training](papers/improving-question-answering-by-commonsense-based-pre-training-2018.md)
     - [Large-scale Simple Question Answering with Memory Network](papers/large-scale-simple-question-answering-with-memory-network-2015.md)
-    - [CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases,2016](papers/CFO:Conditional-Focused-Neural-Question-Answering-with-Large-scale-Knowledge-Bases-2016.md)
-
+    - [CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases,2016](papers/cfo-conditional-focused-neural-question-answering-with-large-scale-knowledge-bases-2015.md)
+    - [Semantic Parsing via Staged Query Graph Generation:Question Answering with Knowledge Base,2015](papers/semantic-parsing-via-staged-query-graph-generation-question-answering-with-knowledge-base-2015.md)
+    - [DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning](papers/deeppath-a-reinforcement-learning-method-for-knowledge-graph-reasoning-2018.md)
   - 3.Machine Reading Comprehension
     - [QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension, 2018](papers/qanet-combining-local-convolution-with-global-self-attention-for-reading-comprehension-2018.md)
     - [Reading Wikipedia to Answer Open-Domain Questions, 2017](papers/reading-wikipedia-to-answer-open-domain-questions-2017.md)
     - [Distributed Representations of Words and Phrases and their Compositionality, 2013](papers/distributed-representations-of-words-and-phrases-2013.md)
     - [R-NET: MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS](papers/r-net-machine-reading-comprehension-with-self-matching-networks-2017.md)
     - [MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER](papers/machine-comprehension-using-match-lstm-and-answer-pointer-2016.md)
     - [context2vec : Learning Generic Context Embedding with Bidirectional LSTM](papers/context2vec-learning-generic-context-embedding-with-bidirectional-LSTM.md)
+    - [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](papers/bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding.md)
+
 
   - 4.Task-Oriented Dialogues
     - [A Network-based End-to-End Trainable Task-oriented Dialogue System, 2017](papers/a-network-based-end-to-end-trainable-task-oriented-dialogue-system-2017.md)
@@ -43,9 +46,14 @@
     - [Visual Question Answering: Datasets, Algorithms, and Future Challenges](papers/visual-question-answering-2016.md)
     - [Object-Difference Attention: A Simple Relational Attention for Visual Question Answering](papers/object-difference-attention-a-simple-relational-attention-for-VQA.md)
     - [Dual Attention Network for Multimodal Reasoning and Matching](papers/dual_attention_network_for_multimodal_reasoning_and_matching.md)
+    - [Adversarial cross-modal retrieval](papers/adversarial_cross-modal_Retrieval-2017.md)
+
   - 7.classical paper
-    - [Attention Is All You Need,2017]([papers/attention-is-all-you-need-2017.md])
+    - [Attention Is All You Need,2017](papers/attention-is-all-you-need-2017.md)
     - [GloVe: Global Vectors for Word Representation,2014](papers/glove-global-vectors-for-word-representation-2014.md)
-    - [Auto Encoding Variational Bayes,2014](papers/Auto-Encoding-Variational-Bayes.md)
+    - [Auto Encoding Variational Bayes,2014](papers/auto-encoding-variational-bayes-2013.md)
+    - [A Simple But Tough-to-Beat Baseline for Sentence embeddings,2017](papers/a-simple-but-tough-to-beat-baseline-for-sentence-embeddings-2017.md)
+    - [Sequence to Sequence Learning with Neural Networks](papers/sequence-to-sequence-searning-with-neural-networks-2014.md)
 
-
+  - 8.embeding technique
+    - [ELMo: Deep contextualized word representations,2018](papers/elmo-deep-contextualized-word-representations-2017.md)
diff --git a/...diversity-promoting-objective-function-for-neural-conversational-models-2016.md b/...diversity-promoting-objective-function-for-neural-conversational-models-2016.md
@@ -5,8 +5,8 @@
 | title | A Diversity-Promoting Objective Function for Neural Conversation Models |
 | author | Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
 | year | 2016 |
-| arxiv | https://arxiv.org/abs/1510.03055 |
+| paper | https://arxiv.org/abs/1510.03055 |
 | github |  None |
 | paperweekly | https://www.paperweekly.site/papers/1582 |
 | page | 11 |
-| member | [@zzy824](https://github.com/824zzy) |
+| member | [@zzy824](https://github.com/824zzy) |
diff --git a/...pers/a-network-based-end-to-end-trainable-task-oriented-dialogue-system-2017.md b/...pers/a-network-based-end-to-end-trainable-task-oriented-dialogue-system-2017.md
@@ -5,7 +5,7 @@
 | title | A Network-based End-to-End Trainable Task-oriented Dialogue System |
 | author | Tsung-Hsien Wen, David Vandyke, Nikola Mrkšic, et la |
 | year | 2017 |
-| arxiv |   https://arxiv.org/pdf/1604.04562.pdf |
+| paper |   https://arxiv.org/pdf/1604.04562.pdf |
 | github |  |
 | paperweekly |  |
 | page | 144 |

diff --git a/docs/papers/a-simple-but-tough-to-beat-baseline-for-sentence-embeddings-2017.md b/docs/papers/a-simple-but-tough-to-beat-baseline-for-sentence-embeddings-2017.md
@@ -0,0 +1,13 @@
+# A Simple But Tough-to-Beat Baseline for Sentence embeddings
+
+|  |  |
+| :--- | :--- |
+| title | A Simple But Tough-to-Beat Baseline for Sentence embeddings |
+| author | Sanjeev Arora, Yingyu Liang, Tengyu Ma |
+| year | 2017 |
+| paper |   None |
+| pdf | https://openreview.net/pdf?id=SyK00v5xx |
+| github |  https://github.com/PrincetonML/SIF |
+| paperweekly | None |
+| page | 16|
+| member | [@qhduan](https://github.com/qhduan) |
diff --git a/docs/papers/adversarial_cross-modal_Retrieval-2017.md b/docs/papers/adversarial_cross-modal_Retrieval-2017.md
@@ -0,0 +1,12 @@
+# Adversarial Cross-Modal Retrieval
+
+|  |  |
+| :--- | :--- |
+| title |  Adversarial Cross-Modal Retrieval |
+| author | Wang, Bokun and Yang, Yang and Xu, Xing and Hanjalic, Alan and Shen, Heng Tao |
+| source | ACMMM,2017 |
+| paper | None|
+| github |  https://github.com/sunpeng981712364/ACMR_demo.git |
+| paperweekly |None |
+| page |  9|
+| member | [@cgpeter96](https://github.com/cgpeter96) |
diff --git a/...nswering-over-knowledge-base-with-cross-attention-combining-global-knowledge.md b/...nswering-over-knowledge-base-with-cross-attention-combining-global-knowledge.md
@@ -6,7 +6,7 @@
 | author | Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu and Jun Zhao |
 | year | 2017 |
 | pdf | http://www.nlpr.ia.ac.cn/cip/~liukang/liukangPageFile/ACL2017-Hao.pdf |
-| arxiv |  None |
+| paper |  None |
 | github |  None |
 | paperweekly |  None |
 | page | 11 |

diff --git a/docs/papers/attention-is-all-you-need-2017.md b/docs/papers/attention-is-all-you-need-2017.md
@@ -5,8 +5,8 @@
 | title | Attention is all you need |
 | author | Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin |
 | year | 2017 |
-| arxiv | https://arxiv.org/abs/1706.03762|
-| github |  https://github.com/jadore801120/attention-is-all-you-need-pytorch |
+| paper | https://arxiv.org/abs/1706.03762|
+| github |   https://github.com/harvardnlp/annotated-transformer|
 | paperweekly |https://www.paperweekly.site/papers/224  |
 | page | 15 |
-| member | [@petercg96](https://github.com/petercg96) |
+| member | [@cgpeter96](https://github.com/petercg96) |
diff --git a/...s/Auto-Encoding-Variational-Bayes-2014.md → ...s/auto-encoding-variational-bayes-2013.md b/...s/Auto-Encoding-Variational-Bayes-2014.md → ...s/auto-encoding-variational-bayes-2013.md
@@ -1,11 +1,12 @@
 # Auto Encoding Variational Bayes
 
+
 |  |  |
 | :--- | :--- |
 | title | Auto Encoding Variational Bayes |
 | author | Diederik P. Kingma and Max Welling |
 | year | 2013,12,20 |
-| arxiv | https://arxiv.org/pdf/1312.6114.pdf |
+| paper | https://arxiv.org/pdf/1312.6114.pdf |
 | github | https://colab.research.google.com/drive/1AO3bwIgzfy63ty8OSSgUPRG1PIii3oo_#scrollTo=v8KbXcS6C-lw |
 | paperweekly | https://www.paperweekly.site/papers/842 |
 | page | 13 |

diff --git a/...t-pre-training-of-deep-bidirectional-transformers-for-language-understanding.md b/...t-pre-training-of-deep-bidirectional-transformers-for-language-understanding.md
@@ -0,0 +1,12 @@
+# BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
+
+|  |  |
+| :--- | :--- |
+| title | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
+| author | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
+| year | 2018 |
+| paper | https://arxiv.org/abs/1810.04805 |
+| github |  https://goo.gl/language/bert |
+| paperweekly | None |
+| page | 14 |
+| member | [@TuringLee](https://github.com/TuringLee) |
diff --git a/...-with-Large-scale-Knowledge-Bases-2016.md → ...-with-large-scale-knowledge-bases-2015.md b/...-with-Large-scale-Knowledge-Bases-2016.md → ...-with-large-scale-knowledge-bases-2015.md
@@ -1,13 +1,14 @@
 # CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
 
+
 |  |  |
 | :--- | :--- |
 | title | CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases |
 | author | Zihang Dai, Lei Li, Wei Xu |
 | year | 2016 |
 | pdf | http://aclweb.org/anthology/P/P16/P16-1076.pdf |
-| arxiv |  https://arxiv.org/abs/1606.01994v2 |
+| paper |  https://arxiv.org/abs/1606.01994v2 |
 | github |  https://github.com/zihangdai/cfo |
 | paperweekly |  None |
 | page | 11 |
-| member | [@High128Net](https://github.com/High128Net) |
+| member | [@High128Net](https://github.com/High128Net) |
diff --git a/...apers/context2vec-learning-generic-context-embedding-with-bidirectional-LSTM.md b/...apers/context2vec-learning-generic-context-embedding-with-bidirectional-LSTM.md
@@ -5,7 +5,7 @@
 | title | context2vec : Learning Generic Context Embedding with Bidirectional LSTM |
 | author | Oren Melamud, Jacob Goldberger, Ido Dagan|
 | year |  2016 |
-| arxiv |   http://aclweb.org/anthology/K16-1006 |
+| paper |   http://aclweb.org/anthology/K16-1006 |
 | github |  None |
 | paperweekly | None |
 | page | 11 |

diff --git a/.../deeppath-a-reinforcement-learning-method-for-knowledge-graph-reasoning-2018.md b/.../deeppath-a-reinforcement-learning-method-for-knowledge-graph-reasoning-2018.md
@@ -0,0 +1,11 @@
+# DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
+ |  |  |
+| :--- | :--- |
+| title | DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning |
+| author | Wenhan Xiong, Thien Hoang |
+| year | 2018 |
+| paper |   https://arxiv.org/pdf/1707.06690.pdf |
+| github | https://github.com/xwhan/DeepPath/tree/master/scripts |
+| paperweekly |  |
+| page | 48 |
+| member | [@initc](https://github.com/initc) |
diff --git a/docs/papers/distributed-representations-of-words-and-phrases-2013.md b/docs/papers/distributed-representations-of-words-and-phrases-2013.md
@@ -5,7 +5,7 @@
 | title |  Distributed Representations of Words and Phrases and their Compositionality |
 | author | Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean |
 | year | 2013 |
-| arxiv |   https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf |
+| paper |   https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf |
 | github |  https://code.google.com/archive/p/word2vec/ |
 | paperweekly |   |
 | page | 9 |

diff --git a/docs/papers/dual_attention_network_for_multimodal_reasoning_and_matching.md b/docs/papers/dual_attention_network_for_multimodal_reasoning_and_matching.md
@@ -5,8 +5,8 @@
 | title |  Dual Attention Networks for Multimodal Reasoning and Matching |
 | author | Hyeonseob Nam |
 | source | CVPR,2017 |
-| arxiv | https://arxiv.org/abs/1611.00471|
+| paper | https://arxiv.org/abs/1611.00471|
 | github |  https://github.com/kelelexu/pytorch-vqa-dan |
 | paperweekly |None |
 | page | 15 |
-| member | [@petercg96](https://github.com/petercg96) |
+| member | [@cgpeter96](https://github.com/petercg96) |
diff --git a/docs/papers/elmo-deep-contextualized-word-representations-2017.md b/docs/papers/elmo-deep-contextualized-word-representations-2017.md
@@ -0,0 +1,13 @@
+# ELMo - Deep contextualized word representations
+
+
+|  |  |
+| :--- | :--- |
+| title |  Deep contextualized word representations |
+| author | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner,Christopher Clark, Kenton Lee, Luke Zettlemoyer |
+| year | 2018 |
+| paper |   https://arxiv.org/pdf/1802.05365.pdf |
+| github |  https://github.com/allenai/allennlp |
+| paperweekly |   |
+| page | 9 |
+| member | [@zwj277567959](https://github.com/zwj277567959) |
diff --git a/docs/papers/end-to-end-task-completion-neural-dialogue-systems-2018.md b/docs/papers/end-to-end-task-completion-neural-dialogue-systems-2018.md
@@ -5,7 +5,7 @@
 | title | End-to-End Task-Completion Neural Dialogue Systems |
 | author |  Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, Asli Celikyilmaz |
 | year | 2018 |
-| arxiv | https://arxiv.org/pdf/1703.01008.pdf |
+| paper | https://arxiv.org/pdf/1703.01008.pdf |
 | github | https://github.com/MiuLab/TC-Bot |
 | paperweekly | https://www.paperweekly.site/papers/607 |
 | page | 144 |

diff --git a/docs/papers/improving-question-answering-by-commonsense-based-pre-training-2018.md b/docs/papers/improving-question-answering-by-commonsense-based-pre-training-2018.md
@@ -5,7 +5,7 @@
 | title | improving question answering by commonsense-based pre-training |
 | author |  Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
 | year | 2018 |
-| arxiv | https://arxiv.org/abs/1809.03568 |
+| paper | https://arxiv.org/abs/1809.03568 |
 | github |  |
 | paperweekly |  |
 | page |  |

diff --git a/...mation-extraction-over-structured-data-question-answering-with-freebase-2014.md b/...mation-extraction-over-structured-data-question-answering-with-freebase-2014.md
@@ -5,7 +5,7 @@
 | title | Information Extraction over Structured Data: Question Answering with Freebase |
 | author | Xuchen Yao and Benjamin Van Durme |
 | year | 2014 |
-| arxiv |   http://cs.jhu.edu/~xuchen/paper/yao-jacana-freebase-acl2014.pdf |
+| paper |   http://cs.jhu.edu/~xuchen/paper/yao-jacana-freebase-acl2014.pdf |
 | github |   |
 | paperweekly |  |
 | page | 48 |

diff --git a/docs/papers/large-scale-simple-question-answering-with-memory-network-2015.md b/docs/papers/large-scale-simple-question-answering-with-memory-network-2015.md
@@ -5,7 +5,7 @@
 | title | Large-scale Simple Question Answering with Memory Network |
 | author | Antoine Bordes, Nicolas Usunier |
 | year | 2015 |
-| arxiv |   https://arxiv.org/pdf/1506.02075.pdf |
+| paper |   https://arxiv.org/pdf/1506.02075.pdf |
 | github |  |
 | paperweekly |  |
 | page | 48 |

diff --git a/docs/papers/link-prediction-using-embedded-knowledge-graphs-2016.md b/docs/papers/link-prediction-using-embedded-knowledge-graphs-2016.md
@@ -5,7 +5,7 @@
 | title | Link Prediction using Embedded Knowledge Graphs |
 | author | Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao |
 | year | 2016-11-14 |
-| arxiv |   https://arxiv.org/abs/1611.04642 |
+| paper |   https://arxiv.org/abs/1611.04642 |
 | github |  None |
 | paperweekly |  None |
 | page | 14 |

diff --git a/docs/papers/machine-comprehension-using-match-lstm-and-answer-pointer-2016.md b/docs/papers/machine-comprehension-using-match-lstm-and-answer-pointer-2016.md
@@ -5,7 +5,7 @@
 | title | MACHINE COMPREHENSION USING MATCH-LSTM AND ANSWER POINTER |
 | author | Shuohang Wang, Shuohang Wang |
 | year | 2016 |
-| arxiv |   https://arxiv.org/pdf/1608.07905.pdf |
+| paper |   https://arxiv.org/pdf/1608.07905.pdf |
 | github |  https://github.com/shuohangwang/SeqMatchSeq |
 | paperweekly | http://www.paperweekly.site/papers/659 |
 | page | 48 |

diff --git a/docs/papers/neural-responding-machine-for-short-text-conversation-2015.md b/docs/papers/neural-responding-machine-for-short-text-conversation-2015.md
@@ -5,7 +5,7 @@
 | title | Neural Responding Machine for Short-Text Conversation |
 | author | Lifeng Shang Zhengdong Lu Hang Li |
 | year | 2015 |
-| arxiv | https://www.aclweb.org/anthology/P15-1152 |
+| paper | https://www.aclweb.org/anthology/P15-1152 |
 | github | https://github.com/stamdlee/DeepLearningFramework |
 | paperweekly |  |
 | page |  |

diff --git a/docs/papers/object-difference-attention-a-simple-relational-attention-for-VQA.md b/docs/papers/object-difference-attention-a-simple-relational-attention-for-VQA.md
@@ -5,7 +5,7 @@
 | title | Object-Difference Attention: A Simple Relational Attention for Visual Question Answering |
 | author | Chenfei Wu, Jinlai Liu, Xiaojie Wang, Xuan Dong |
 | source | ACMMM, 2018 |
-| arxiv |   None |
+| paper |   None |
 | github |  None |
 | paperweekly | None |
 | page | 9 |

diff --git a/...-local-convolution-with-global-self-attention-for-reading-comprehension-2018.md b/...-local-convolution-with-global-self-attention-for-reading-comprehension-2018.md
@@ -5,7 +5,7 @@
 | title | QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension |
 | author | Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le |
 | year | 2018 |
-| arxiv |   https://arxiv.org/abs/1804.09541 |
+| paper |   https://arxiv.org/abs/1804.09541 |
 | github |  https://github.com/NLPLearn/QANet|
 | paperweekly |  https://www.paperweekly.site/papers/1901|
 | page | 16 |

diff --git a/...answering-over-freebase-with-multi-column-convolutional-neural-networks-2015.md b/...answering-over-freebase-with-multi-column-convolutional-neural-networks-2015.md
@@ -5,7 +5,7 @@
 | title | Question Answering over Freebase with Multi-Column Convolutional Neural Networks |
 | author | Li Dong† Furu Wei Ming Zhou‡ Ke Xu† |
 | year | 2015 |
-| arxiv |   http://www.aclweb.org/anthology/P15-1026 |
+| paper |   http://www.aclweb.org/anthology/P15-1026 |
 | github |  |
 | paperweekly | http://www.paperweekly.site/papers/1293 |
 | page | 48 |

diff --git a/docs/papers/question-answering-with-subgraph-embeddings-2014.md b/docs/papers/question-answering-with-subgraph-embeddings-2014.md
@@ -5,7 +5,7 @@
 | title | Question Answering with Subgraph Embeddings |
 | author | Antoine Bordes, Jason Weston, and Sumit Chopra |
 | year | 2014 |
-| arxiv |   https://arxiv.org/pdf/1406.3676.pdf |
+| paper |   https://arxiv.org/pdf/1406.3676.pdf |
 | github |  |
 | paperweekly | http://www.paperweekly.site/papers/1729 |
 | page | 48 |

diff --git a/.../papers/r-net-machine-reading-comprehension-with-self-matching-networks-2017.md b/.../papers/r-net-machine-reading-comprehension-with-self-matching-networks-2017.md
@@ -5,7 +5,7 @@
 | title | R-NET: MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS |
 | author | Natural Language Computing Group, Microsoft Research Asia |
 | year | 2017 |
-| arxiv |   https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf |
+| paper |   https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf |
 | github |  https://github.com/HKUST-KnowComp/R-Net|
 | paperweekly |  |
 | page | 48 |

diff --git a/docs/papers/reading-wikipedia-to-answer-open-domain-questions-2017.md b/docs/papers/reading-wikipedia-to-answer-open-domain-questions-2017.md
@@ -5,7 +5,7 @@
 | title |  Reading Wikipedia to Answer Open-Domain Questions |
 | author | Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes |
 | year | 2017 |
-| arxiv |   https://arxiv.org/abs/1704.00051 |
+| paper |   https://arxiv.org/abs/1704.00051 |
 | github |  https://github.com/facebookresearch/DrQA |
 | paperweekly |   |
 | page | 10 |

diff --git a/docs/papers/semantic-parsing-on-freebase-from-question-answer-pairs-2013.md b/docs/papers/semantic-parsing-on-freebase-from-question-answer-pairs-2013.md
@@ -5,7 +5,7 @@
 | title | Semantic Parsing on Freebase from Question-Answer Pairs |
 | author | Jonathan Berant Andrew Chou Roy Frostig Percy Liang |
 | year | 2013 |
-| arxiv |   http://www.aclweb.org/anthology/D13-1160 |
+| paper |   http://www.aclweb.org/anthology/D13-1160 |
 | github |  https://nlp.stanford.edu/software/sempre |
 | paperweekly |  |
 | page | 48 |

diff --git a/...ia-staged-query-graph-generation-question-answering-with-knowledge-base-2015.md b/...ia-staged-query-graph-generation-question-answering-with-knowledge-base-2015.md
@@ -0,0 +1,12 @@
+# Semantic Parsing via Staged Query Graph Generation:Question Answering with Knowledge Base
+
+|  |  |
+| :--- | :--- |
+| title |Semantic Parsing via Staged Query Graph Generation:Question Answering with Knowledge Base |
+| author | Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao |
+| year | 2015 |
+| arxiv |  NONE |
+| github | NONE |
+| paperweekly | http://www.paperweekly.site/papers/1730 |
+| page | 30 |
+| member | [@wyy0206](https://github.com/wyy0206) |
diff --git a/docs/papers/sequence-to-sequence-searning-with-neural-networks-2014.md b/docs/papers/sequence-to-sequence-searning-with-neural-networks-2014.md
@@ -0,0 +1,18 @@
+# Sequence to Sequence Learning with Neural Networks
+
+|  |  |
+| :--- | :--- |
+| title | Sequence to Sequence Learning with Neural Networks |
+| author | Ilya Sutskever et al. |
+| year | 2014 |
+| paper | https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf |
+| github | https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb |
+| paperweekly |  |
+| page |  |
+| member | [@zixia](https://github.com/zixia) |
+
+## History
+
+
+## See Also
+
diff --git a/...the-natural-language-decathlon-multitask-learning-as-question-answering-2018.md b/...the-natural-language-decathlon-multitask-learning-as-question-answering-2018.md
@@ -5,7 +5,7 @@
 | title | The Natural Language Decathlon: Multitask Learning as Question Answering |
 | author |  Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher |
 | year | 2018 |
-| arxiv | https://arxiv.org/pdf/1806.08730.pdf |
+| paper | https://arxiv.org/pdf/1806.08730.pdf |
 | github | https://github.com/salesforce/decaNLP |
 | paperweekly |  |
 | page | 23 |

diff --git a/docs/papers/visual-question-answering-2016.md b/docs/papers/visual-question-answering-2016.md
@@ -5,7 +5,7 @@
 | title | Visual Question Answering:Datasets, Algorithms, and Future Challenges |
 | author | Kushal Kafle and Christopher Kanan |
 | year | 2016 |
-| arxiv |   http://cn.arxiv.org/pdf/1610.01465.pdf |
+| paper |   http://cn.arxiv.org/pdf/1610.01465.pdf |
 | github |  None |
 | paperweekly | https://www.paperweekly.site/papers/1793 |
 | page | 37|