“Reading table”版本间的差异

• 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]

• From Word Embeddings To Document Distances pdf
• Reading list for ICML2015

• Sequence to Sequence Learning with Neural Networks pdf
• Neural Machine Translation by Jointly Learning to Align and Translate pdf

• A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [pdf]

• 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.

• Neural Word Embedding as Implicit Matrix Factorization [pdf]
• Matrix factorization techniques for recommender systems [[11]]

• MEMORY NETWORKS(ICLR 2015) [pdf]
• End-To-End Memory Networks(NIPS 2015) [pdf]

• 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]

• Binary Code Ranking with Weighted Hamming Distance [pdf]

• Generative Image Modeling Using Spatial LSTMs [pdf]
• Character-level Convolutional Networks for Text Classification [pdf]

• Are You Talking to a Machine? [pdf]
• m-RNN [pdf]
• PresentationPPT [pdf]

• NEURAL PROGRAMMER-INTERPRETERS [pdf]
• Subset Selection by Pareto Optimization [pdf]

• Random Walks and Neural Network Language Models [pdf]
• SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[pdf]

• 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]

• 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]

• 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]

• Exploiting Multiple Sources for Open-domain Hypernym Discovery[[12]]
• learning semantic hierarchies via word embeddings[[13]]

• Multilingual Language Processing From Bytes [pdf]
• Towards universal neural nets: Gibbs machines and ACE. [pdf]

• 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]

• 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]

• Skip_thought_vector [pdf]

• Towards Neural Network-based Reasoning[[14]]

• Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[pdf]
• Composing Music With Recurrent Neural Networks[blog]

• Generating Text with Deep Reinforcement Learning[pdf]

• Generating Chinese Classical Poems with RNN[[15]]

• Knowledge Base Completion via Search-Based Question Answering [[16]]
• Open Domain Question Answering via Semantic Enrichment [[17]]
• A Neural Conversational Model [[18]]

• 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

• Intrinsic Subspace Evaluation of Word Embedding Representations [pdf]

[slides]

• Aodong Li
• Jiyuan Zhang
• Andi Zhang

• On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [pdf] [slides]
• ABCNN- Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

[pdf] [slides]

• Tutorial: Introduction to different LMs: NNLM, RNNLM, continuous bag of words, skip-gram

[slides]

• Shiyao Li
• Aiting Liu

• Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss

[pdf] [slides]

• A Sentence Interaction Network for Modeling Dependence between Sentences

[pdf] [slides]

• Ziwei Bai

• Tutorial: Tensorflow guidelines and some examples

[slides]

• Jiyuan Zhang
• Shiyao Li

• Tutorial: Introduction to GRU, LSTM, RBM [slides]
• Tutorial : Linear Algebra, Probability and Information Basics

[LinearAlgebra] [ProbabilityAndInformationTheory]

• Aodong Li

• Pointing the Unknown Words [pdf]

• Andy Zhang
• Shiyao Li
• Aodong Li

• Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis [pdf][slides]
• Finding the Middle Ground - A Model for Planning Satisficing Answers [pdf]

[slides]

• Compressing Neural Language Models by Sparse Word Representations [pdf]

• Jiyuan Zhang
• Shiyue Zhang

• On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

[pdf] [slides]

• Stack-propagation: Improved Representation Learning for Syntax

[pdf] [slides]