Unsupervised Argumentation Mining in Student Essays
State-of-the-art systems for argumentation mining are supervised, thus relying on training data containing manually annotated argument components and the relationships between them. To eliminate the reliance on annotated data, we present a novel approach to unsupervised argument mining. The key idea is to bootstrap from a small set of argument components automatically identified using simple heuristics in combination with reliable contextual cues. Results on a Stab and Gurevych{'}s corpus of 402 essays show that our unsupervised approach rivals two supervised baselines in performance and achieves 73.5-83.7{\%} of the performance of a state-of-the-art neural approach.
Code (0)
등록된 구현이 없습니다.
Tasks
Argument MiningSimilar Papers 제목 키워드 기반
End-to-End Argumentation Mining in Student Essays
Argument Component Classification by Relation Identification by Neural Network and TextRank
In recent years, argumentation mining, which automatically extracts the structure of argumentation from unstructured documents such as essays and debates, is gaining attention. For argumentation mining applications, argu…
ArticlesClassificationComponent ClassificationDocument Classification+3Argumentation Mining on Essays at Multi Scales
Argumentation mining on essays is a new challenging task in natural language processing, which aims to identify the types and locations of argumentation components. Recent research mainly models the task as a sequence ta…
Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays
We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment. Two classroom writing assignments were given to college s…
Using Argument Mining to Assess the Argumentation Quality of Essays
Argument mining aims to determine the argumentative structure of texts. Although it is said to be crucial for future applications such as writing support systems, the benefit of its output has rarely been evaluated. This…
Argument Mining