This post is about our paper “SSAS: Semantic Similarity for Abstractive Summarization” which is presented at IJCNLP 2017, Taipei, Taiwan.
Automated text summarization has been around for a long time. Since this involves text generated by systems, there is a need for proper evaluation metrics to evaluate the performance of summarization systems. Traditionally, the two popular approaches for summarization are ‘Extractive Summarization’ and ‘Abstractive Summarization’. Continue reading “Towards Better Evaluation of Abstractive Summarization”