BERT Meets Relational DB: Contextual Representations of Relational Databases CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex (ArXiv 2022) Natural language to SQL Resource repo LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning (SIGMOD 2022) PreQR: Pre-tra...
DB-BERT: a Database Tuning Tool that “Reads the Manual” Trummer I. SIGMOD, 2022. [paper] HUNTER- An Online Cloud Database Hybrid Tuning System for Personalized Requirements Cai B, Liu Y, Zhang C, et al. SIGMOD, 2022. [paper] Knob Selection SARD: A statistical approach for ranking ...
第二种方法用基于embedding的deep Match方法,主要参照了2018年ACM SIGMOD 的方法做了一些改进,该方法把实体中的每个属性下的O的Value concate成一个句子,通过双向LSTM等一模型encodeing成向量,计算每个属性下的emdming的相似度,最后经过一个分类模型,判断是否是同一个实体。该...
现在的中文命名实体识别方法广泛采用基于word2vec-BiLSTM-CRF或BERT-BiLSTM-CRF的深度学习模型。首先,模型接收中文语料,经由word2vec/BERT模型获得字向量序列;而后,将该字向量序列输入BiLSTM层获取上下文隐藏信息,得到最终的编码;最后将编码送入CRF层获得命名实体识别结果。但此类方法存在以下弊端: ...
Trummer I (2022) DB-BERT: a database tuning tool that "reads the manual”. In: SIGMOD, pp 190–203 Trummer I (2022) Codexdb: synthesizing code for query processing from natural language instructions using GPT-3 codex. Proc VLDB Endow 15(11):2921–2928 Article Google Scholar Download re...
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual. SIGMOD, 2022. [paper] [DB Tuning] Luming Sun, Tao Ji, Cuiping Li, Hong Chen. DeepO: A Learned Query Optimizer. SIGMOD, 2022. [paper] [DB Tuning] Junxiong Wang, Immanuel Trummer, Debabrota Basu. Demonstrating UDO...