NLP Summarization: Abstractive Neural Headline Generation Over A News Articles Corpus

Abstract

Most of NLP research fields (Translation, Classification, Dialogue Systems ...) have been revolutionized by the rise of deep learning methods, which rely on the new dense and low-dimensional feature representation. We present in this article the basic training techniques of Word Embeddings as well as the recent works on Abstractive Neural Summarizers. We also introduce our trained French Word Embeddings, further used as the embedding layer to implement our baseline French Neural Summarizer for the headline generation task, using the RNN (Recurrent Neural Network) Encoder-Decoder architecture.