论文标题
标签嵌入和明确定义的中间表示改善问题描述的自动制定
Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description
论文作者
论文摘要
在本报告中，我解决了问题描述的自动制定，这是将优化问题转换为规范表示的任务。我首先通过定义中间表示，然后介绍嵌入实体标签以利用给定的实体标签信息来简化自动构图任务。消融研究证明了所提出的方法的有效性，该方法最终在2022 NL4OPT竞争子任务2中排名第二。
In this report, I address auto-formulation of problem description, the task of converting an optimization problem into a canonical representation. I first simplify the auto-formulation task by defining an intermediate representation, then introduce entity tag embedding to utilize a given entity tag information. The ablation study demonstrate the effectiveness of the proposed method, which finally took second place in NeurIPS 2022 NL4Opt competition subtask 2.
