Название: Natural Language Processing in Artificial Intelligence—NLPinAI 2020
Автор: Roussanka Loukanova
Издательство: Springer
Год: 2021
Страниц: 250
Язык: английский
Формат: pdf (true), epub
Размер: 17.4 MB

This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes.

We develop a deep neural network (DNN) based predictive model that incorporates some advanced features of DNN to predict the quality of unpublished headlines using the data labelled by the above approach. The proposed model uses the proposed headline quality indicators and considers the similarity between the headline and its article. Deep Neural Networks have become a widely used technique that has produced very promising results in news headline popularity tasks in recent years. Most NLP approaches employ deep learning models, and they do not usually need heavy feature engineering and data cleaning. However, most of the traditional methods rely on the graph data of the interactions between users and contents.