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| *Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]] | | *Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]] |
| *SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]] | | *SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]] |
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| + | |2015/12/4 || Dongxu Zhang || |
| + | *Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP003.pdf]] |
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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. pdfcode
|
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdfcode
|
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 |
|
2015/07/29 |
Xiaoxi Wang |
- Sequence to Sequence Learning with Neural Networks pdf
- Neural Machine Translation by Jointly Learning to Align and Translate pdf
|
2015/08/05 |
Tianyi Luo |
- A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [pdf]
|
2015/08/05 |
Dongxu Zhang |
- Describing Multimedia Content using Attention-based Encoder-Decoder Networks[8]
- Attention-Based Models for Speech Recognition[9] details in speech recognition.
- Neural Machine Translation by Joint Learning to Align and Translate[10] details in machine translation.
|
2015/08/07 |
Chao Xing |
- Neural Word Embedding as Implicit Matrix Factorization [pdf]
- Matrix factorization techniques for recommender systems [[11]]
|
2015/10/14 |
Tianyi Luo, Dongxu Zhang, Chao Xing |
- MEMORY NETWORKS(ICLR 2015) [pdf]
- End-To-End Memory Networks(NIPS 2015) [pdf]
|
2015/10/20 |
Tianyi Luo, Xiaoxi Wang |
- The Kendall and Mallows Kernels for Permutations (ICML 2015) [pdf]
- The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [pdf]
- Reasoning about Entailment with Neural Attention [pdf]
|
2015/10/28 |
Lantian Li |
- Binary Code Ranking with Weighted Hamming Distance [pdf]
|
2015/11/05 |
Chao Xing, Xiaoxi Wang |
- Generative Image Modeling Using Spatial LSTMs [pdf]
- Character-level Convolutional Networks for Text Classification [pdf]
|
2015/11/20 |
qixinWang |
- Are You Talking to a Machine? [pdf]
- m-RNN [pdf]
- PresentationPPT [pdf]
|
2015/11/27 |
Xiaoxi Wang |
- NEURAL PROGRAMMER-INTERPRETERS [pdf]
- Subset Selection by Pareto Optimization [pdf]
|
2015/11/27 |
Chao Xing |
- Random Walks and Neural Network Language Models [pdf]
- SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[pdf]
|
2015/12/4 |
Dongxu Zhang |
- Building a shared world: Mapping distributional to model-theoretic semantic spaces[[12]]
|