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Automatic Text Preprocessing for Intelligent Dialog Agents

  • Alessandro MaistoEmail author
  • Serena Pelosi
  • Massimiliano Polito
  • Michele Stingo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 927)

Abstract

The paper describes a new Text Preprocessing Pipeline based on a Hybrid approach which involve rule-based and stochastic approaches. The presented pipeline is part of a larger project titled Big Data for Multi-Agent Specialized System developed by Network Contacts in collaboration with University of Salerno and other institutional partners. The aim of the project is to build an Hybrid Question Answering System composed by sets of Dialog Bots able to process great volumes of data. Due to the importance of unstructured textual data, a particular focus of the project is on automatic processing of Text. The paper will describe the three main modules of the preprocessing pipeline, which involve a Style Correction Module, a Clitic Decomposition Module and a POS Tagging and Lemmatization Module.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Alessandro Maisto
    • 1
    Email author
  • Serena Pelosi
    • 1
  • Massimiliano Polito
    • 2
  • Michele Stingo
    • 1
  1. 1.Università di SalernoFiscianoItaly
  2. 2.Network ContactsMolfettaItaly

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