Navigation to the NLP

This Page is for the Navigation for the note in my website, I would update it in every 2 weeks phase .

There are 5 Main Parts in the page which are

Basic Knowledge in NLP : like the different kinds of Embedding ,or the enhancement to the basic theory of the NLP
The Non-Classical Application in NLP : The Financial Domain specific application , Corpus analysis , Other Application
The Classical Application in NLP : QA system / Chatbot / Translation / Summary / Abstract
New Network Mechanism (Totally Personal preference): Here would be some improvement which are aim to solve the problem in the above field, but the idea can also be applied into other field ,and make a great impact to the following research(Like the Attention is aim to solve the translation ,but can be applied into almost all fields).This part is totally based on my personal judgement.
Several Graph Based Paper would also be presented here

The Basic Knowledge in NLP

Embedding

【Distributed Representations of Words and Phrases and their Compositionality】

【QUERY2BOX: REASONING OVER KNOWLEDGE G RAPHS IN VECTOR SPACE USING BOX EMBEDDINGS】

【Real-time Personalization using Embeddings for Search Ranking at Airbnb】

【WORD REPRESENTATIONS VIA GAUSSIAN EMBEDDING】

【Poincaré Embeddings for Learning Hierarchical Representations】

【Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba】

【Label Embedding using Hierarchical Structure of Labels for twitter Classification】

【INFOGRAPH: UNSUPERVISED AND SEMI-SUPERVISED GRAPH-LEVEL REPRESENTATION LEARNING VIA MU- TUAL INFORMATION MAXIMIZATION】

【Exploring Vector Spaces for Semantic Relations】

【GloVe: Global Vectors for Word Representation】

Basic Theory Enhancement

【Duality of Link Prediction and Entailment Graph Induction】

【A Simple Theoretical Model of Importance for Summarization】

【Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned】

【From Word Embeddings To Document Distances】

【A mathematical theory of semantic development in deep neural networks】

【Experimenting with Power Divergences for Language Modeling】

Application of NLP(Not Classical)

Financial Relevant

【Stock Movement Prediction from Tweets and Historical Prices】

【What You Say and How You Say It Matters: Predicting Financial Risk Using Verbal and Vocal Cues】

【DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data】

【Convolutional Neural Networks for Financial Text Regression】

【Using unstructured and qualitative disclosures to explain accruals 】

【A plain English measure of financial reporting readability】

【Predicting Risk from Financial Reports with Regression】

【The Evolution of 10-K Textual Disclosure: Evidence from Latent Dirichlet Allocation 】

【The Semantics of Change as Revealed Through an Examination of Financial Accounting Standards Amendments】

【Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction 】

【Enhancing Stock Movement Prediction with Adversarial Training 】

【Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction】(Graph Based Approach)

【Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News】

【Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding】

【Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction】

【Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis】(Graph Based Approach)

【Knowledge-Driven Event Embedding for Stock Prediction】

【Economic Event Detection in Company-Specific News Text】

Corpus Analysis

【Understanding the Evolution of Circular Economy through Language Change】

Other

【Deep Computational Phenotyping】

【Hierarchical Attention Networks for Document Classification】

【Jukebox: A Generative Model for Music】

Application of NLP(Classical)

Chatbot/QA System

【Reading Wikipedia to Answer Open-Domain Questions】

【Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce】

【Document Modeling with External Attention for Sentence Extraction】

【Topic Aware Neural Response Generation】

Summary/Abstract

【Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization】

【Mining and Summarizing Customer Reviews】

【Abstract Meaning Representation for Paraphrase Detection】

【Document Modeling with External Attention for Sentence Extraction】

【Ranking Sentences for Extractive Summarization with Reinforcement Learning】

【Survey on Abstract Meaning Representation】

Translation

【NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE】

【Attention is All You Need】

Generation

【Topic-Aware Neural Keyphrase Generation for Social Media Language】

New Network Mechanism

【Hierarchical Attention Networks for Document Classification】

【Attention is All You Need】

【Ranking Sentences for Extractive Summarization with Reinforcement Learning】

【Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization】

【Stock Movement Prediction from Tweets and Historical Prices】

【Recurrent Attentional Topic Model】

【Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification 】