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| | |2015/12/25 || Dongxu zhang || | | |2015/12/25 || Dongxu zhang || |
| | *Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]] | | *Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]] |
| − | *learning semantic hierarchies via word embeddings[[]] | + | *learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.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, Qixin Wang, Chao Xing |
- Building a shared world: Mapping distributional to model-theoretic semantic spaces[pdf]
- Playing Atari with Deep Reinforcement Learning[pdf]
- Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [pdf]
|
| 2015/12/11 |
Chao Xing, Yiqiao Pan |
- Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [pdf]
- SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [pdf]
- Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[pdf]
- Distributional Semantics in Use[pdf]
|
| 2015/12/11 |
Tianyi Luo, Dongxu Zhang |
- Human-level concept learning through probabilistic program induction(Cognitive Science) [pdf]
- Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [pdf]
- Building a shared world: Mapping distributional to model-theoretic semantic spaces[pdf]
|
| 2015/12/25 |
Dongxu zhang |
- Exploiting Multiple Sources for Open-domain Hypernym Discovery[[12]]
- learning semantic hierarchies via word embeddings[[13]]
|
