墨西哥城311 Locatel的自然语言处理模型

LatinX in AI at North American Chapter of the Association for Computational Linguistics Conference 2022 Pub Date : 2022-07-10 DOI:10.52591/lxai202207101

Alejandro Molina-Villegas, Edwin Aldana-Bibadilla, O. Siordia, Jorge Pérez

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引用次数: 0

摘要

基于自然语言处理的技术正在通过人工智能(AI)促进提供服务的新方式，从而改变各个部门。在本文中，我们描述了方法，并提出了在创建基于深度学习的公民服务请求分类模型过程中遇到的挑战。我们的系统能够有效识别48类公共服务，准确率达到97%，并被整合到墨西哥城的311中，大大提高了政府提供更好服务的能力。

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Incorporating Natural Language Processing models in Mexico City's 311 Locatel

Natural Language Processing based technologies are transforming various sectors by facilitating new ways of providing services through Artificial Intelligence (AI). In this paper, we describe the methodology and present the challenges encountered during the creation of a Deep Learning-based model for classifying citizen service requests. Our system is able to effectively recognize among 48 categories of public services with an accuracy of 97% and was integrated into Mexico City’s 311, significantly increasing the government’s ability to provide better services.

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LatinX in AI at North American Chapter of the Association for Computational Linguistics Conference 2022

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