IEEE Mediterranean Eletrotechnical Conference 2020

IEEE MELECON 2020

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Conference Track

Session 2.3 - Artificial Intelligence and Big Data Analytics

Attention-based Model for Evaluating the Complexity of Sentences in English Language

  Daniele Schicchi

  • ABSTRACT

The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deeplearning-based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in two different languages: Italian and English.

  • PRESENTER

Daniele Schicchi
  Università degli studi di Catania, Italy

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