Annotating argumentation in Swedish social media
This paper presents a small study of annotating argumentation in Swedish social media. Annotators were asked to annotate spans of argumentation in 9 threads from two discussion forums. At the post level, Cohen’s k and Krippendorff’s alpha 0.48 was achieved. When manually inspecting the annotations the annotators seemed to agree when conditions in the guidelines were explicitly met, but implicit argumentation and opinions, resulting in annotators having to interpret what’s missing in the text, caused disagreements.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Towards Assessing Argumentation Annotation - A First Step
This paper presents a first attempt at using Walton{'}s argumentation schemes for annotating arguments in Swedish political text and assessing the feasibility of using this particular set of schemes with two linguistical…
Distributional properties of political dogwhistle representations in Swedish BERT
“Dogwhistles” are expressions intended by the speaker have two messages: a socially-unacceptable “in-group” message understood by a subset of listeners, and a benign message intended for the out-group. We take the result…
SentenceSurveySocial Media Argumentation Mining: The Quest for Deliberateness in Raucousness
Argumentation mining from social media content has attracted increasing attention. The task is both challenging and rewarding. The informal nature of user-generated content makes the task dauntingly difficult. On the oth…
PositionReading Stockholm Riots 2013 in social media by text-mining
The riots in Stockholm in May 2013 were an event that reverberated in the world media for its dimension of violence that had spread through the Swedish capital. In this study we have investigated the role of social media…
Sentiment AnalysisThe evolution of argumentation mining: From models to social media and emerging tools
Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling ar…