The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News
Emma Barker, Monica Lestari Paramita, Ahmet Aker, Emina Kurtić, Mark Hepple, Robert Gaizauskas · 2016
Researchers are beginning to explore how to generate summaries of extended argumentative conversations in social media, such as those found in reader comments in on-line news.To date, however, there has been little discussion of what these summaries should be like and a lack of humanauthored exemplars, quite likely because writing summaries of this kind of interchange is so difficult.In this paper we propose one type of reader comment summary -the conversation overview summary -that aims to capture the key argumentative content of a reader comment conversation.We describe a method we have developed to support humans in authoring conversation overview summaries and present a publicly available corpusthe first of its kind -of news articles plus comment sets, each multiply annotated, according to our method, with conversation overview summaries.