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03/27/2023
Finite Strain Topology Optimization with Nonlinear Stability Constraints
This paper proposes a computational framework for the design optimizatio...
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02/09/2023
The Re-Label Method For Data-Centric Machine Learning
In industry deep learning application, our manually labeled data has a c...
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05/30/2022
A hybrid-model approach for reducing the performance gap in building energy forecasting
The performance gap between predicted and actual energy consumption in t...
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06/22/2021
A Comprehensive Exploration of Pre-training Language Models
Recently, the development of pre-trained language models has brought nat...
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01/30/2021
Learning From How Human Correct
In industry NLP application, our manually labeled data has a certain num...
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11/18/2020
Predictions For Pre-training Language Models
Language model pre-training has proven to be useful in many language und...
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10/16/2019
Content Enhanced BERT-based Text-to-SQL Generation
We present a simple methods to leverage the table content for the BERT-b...
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08/22/2019
Revisit Semantic Representation and Tree Search for Similar Question Retrieval
In this paper, we study the problem of short sentence ranking for questi...
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07/01/2019
Using Database Rule for Weak Supervised Text-to-SQL Generation
We present a simple and novel way to do the task of text-to-SQL problem ...
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02/12/2019
Table2answer: Read the database and answer without SQL
Semantic parsing is the task of mapping natural language to logic form. ...
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02/15/2018
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
In recent years, bike-sharing systems have been deployed in many cities,...
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12/30/2017
