Difference between revisions of "Reading table"

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|2016/8/4 || Andi Li ||
|2016/8/4 || Andi Li ||
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d2/Take_and_Took%2C_Gaggle_and_Goose%2C_Book_and_Read-_Evaluating_the_Utility_of_Vector_Differences_for_Lexical_Relation_Learning.pdf pdf]]
*Introduction to different LMs: NNLM, RNNLM, bag of words, skip-gram
*Introduction to different LMs: NNLM, RNNLM, bag of words, skip-gram

Revision as of 07:09, 28 July 2016

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
  • 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]
  • Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[pdf]
  • Distributional Semantics in Use[pdf]
2015/12/18 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, Qixin Wang
  • Exploiting Multiple Sources for Open-domain Hypernym Discovery[[12]]
  • learning semantic hierarchies via word embeddings[[13]]
2015/12/31 Xiaoxi Wang, Chao Xing
  • Multilingual Language Processing From Bytes [pdf]
  • Towards universal neural nets: Gibbs machines and ACE. [pdf]
2016/1/8 Qixin Wang, Tianyi Luo
  • Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[pdf]
  • Generating Chinese Couplets using a Statistical MT Approach[pdf]
  • Generating Chinese Classical Poems with Statistical Machine Translation Models[pdf]
  • Chinese Poetry Generation with Recurrent Neural Networks[pdf]
2016/1/15 Chao Xing
  • Learning from Chris Dyer [ppt]
  • Learning Word Representations with Hierarchical Sparse Coding [pdf]
  • Non-distributional Word Vector Representations [pdf]
  • Sparse Overcomplete Word Vector Representations [pdf]
2016/1/22 Qixin Wang, Tianyi Luo
  • Skip_thought_vector [pdf]
2016/1/29 Dongxu Zhang
  • Towards Neural Network-based Reasoning[[14]]
2016/3/25 Jiyuan Zhang
  • Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[pdf]
  • Composing Music With Recurrent Neural Networks[blog]
2016/4/1 Chao Xing
  • Generating Text with Deep Reinforcement Learning[pdf]
2016/4/8 Tianyi Luo
  • Generating Chinese Classical Poems with RNN[[15]]
2016/4/28 Chao Xing
  • Knowledge Base Completion via Search-Based Question Answering [[16]]
  • Open Domain Question Answering via Semantic Enrichment [[17]]
  • A Neural Conversational Model [[18]]
2016/5/11 Chao Xing
  • A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
  • Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
  • Neural Responding Machine for Short-Text Conversation
  • Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
2016/7/28 Aiting Liu, Aodong Li
  • Intrinsic Subspace Evaluation of Word Embedding Representations [pdf]
  • On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [pdf]
2016/8/4 Andi Li
  • Introduction to different LMs: NNLM, RNNLM, bag of words, skip-gram
  • Word Embeddings as Metric Recovery in Semantic Spaces [pdf]