This paper presents the results and findings of the Financial Narrative Summarisation shared task (FNS 2020) on summarising UK annual reports.
The pervasiveness of the Internet and social media have enabled the rapid and anonymous spread of Hate Speech content on microblogging platforms such as Twitter.
In this study, we examine the effect of probabilistic topic model-based word representations, on sentence-based extractive summarization.
In this study we examine the effect of semantic augmentation approaches on extractive text summarization.
This report covers the summarization evaluation task, proposed to the summarization community via the MultiLing 2019 Workshop of the RANLP 2019 conference.