Generating embeddings through doing L2-normalization to sgns embeddings trained by all data (train,dev,test).

A growing reading list for natural-language-to-SQL research

Original paper

• SQLNet: Generating Structured Queries from Natural Language without Reinforcement Learning
• Coarse-to-Fine Decoding for Neural Semantic Parsing*

Text simplification

• Simplification Using Paraphrases and Context-based Lexical Substitution

Table embeddings

• Entity Matching on Web Tables: a Table Embeddings Approach for Blocking
• Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval

Ensemble embeddings

• An Ensemble Method to Produce High-Quality Word Embeddings

   combine conceptNetwith word2vec and glove; SVD
  

• Improving Distributional Similarity with Lessons Learned from Word Embeddings

   combine predictive embedding models with count based models
  

• ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

   CNN and transfer learning to deal with words did not appear at KB
  

• Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity

• Structural Embedding of Syntactic Trees for Machine Comprehension

• Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

• Retrofitting Word Vectors to Semantic Lexicons

• ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

Papers to read

• Deep contextualized word representations(ELMo)

• Training Relation Embeddings under Logical Constraints

• A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

Useful links

Embedding resources

Discussion on different embeddings

BERT explained

Next to do: fix k8s container not found bug