46 citations · 79 across the 10 of their papers we have counts for
10 papers
The Re-Label Method For Data-Centric Machine Learning
Tong Guo
In industry deep learning application, our manually labeled data has a certain number of noisy data. To solve this problem and achieve more than 90 score in dev dataset, we present…
A Comprehensive Comparison of Pre-training Language Models
Tong Guo
Recently, the development of pre-trained language models has brought natural language processing (NLP) tasks to the new state-of-the-art. In this paper we explore the efficiency of…
Learning From How Humans Correct
Tong Guo
In industry NLP application, our manually labeled data has a certain number of noisy data. We present a simple method to find the noisy data and relabel them manually, meanwhile we…
Predictions For Pre-training Language Models
Tong Guo
Language model pre-training has proven to be useful in many language understanding tasks. In this paper, we investigate whether it is still helpful to add the self-training method…
Transfer Learning Toolkit: Primers and Benchmarks
Fuzhen Zhuang, Keyu Duan, Tongjia Guo +4
The transfer learning toolkit wraps the codes of 17 transfer learning models and provides integrated interfaces, allowing users to use those models by calling a simple function. It…
Content Enhanced BERT-based Text-to-SQL Generation
Tong Guo, Huilin Gao
We present a simple methods to leverage the table content for the BERT-based model to solve the text-to-SQL problem. Based on the observation that some of the table content match s…
Revisiting Semantic Representation and Tree Search for Similar Question Retrieval
Tong Guo, Huilin Gao
This paper studies the performances of BERT combined with tree structure in short sentence ranking task. In retrieval-based question answering system, we retrieve the most similar…
Using Database Rule for Weak Supervised Text-to-SQL Generation
Tong Guo, Huilin Gao
We present a simple way to do the task of text-to-SQL problem with weak supervision. We call it Rule-SQL. Given the question and the answer from the database table without the SQL…
Table2answer: Read the database and answer without SQL
Tong Guo, Huilin Gao
Semantic parsing is the task of mapping natural language to logic form. In question answering, semantic parsing can be used to map the question to logic form and execute the logic…
Bidirectional Attention for SQL Generation
Tong Guo, Huilin Gao
Generating structural query language (SQL) queries from natural language is a long-standing open problem. Answering a natural language question about a database table requires mode…