Automated Classification of Stance in Student Essays: An Approach Using Stance Target Information and the Wikipedia Link-Based Measure
نویسنده
چکیده
We present a new approach to the automated classification of document-level argument stance, a relatively underresearched sub-task of Sentiment Analysis. In place of the noisy online debate data currently used in stance classification research, a corpus of student essays annotated for essaylevel stance is constructed for use in a series of classification experiments. A novel set of features designed to capture the stance, stance targets, and topical relationships between the essay prompt and the student’s essay is described. Models trained on this feature set showed significant increases in accuracy relative to two high baselines.
منابع مشابه
Modeling Stance in Student Essays
Essay stance classification, the task of determining how much an essay’s author agrees with a given proposition, is an important yet under-investigated subtask in understanding an argumentative essay’s overall content. We introduce a new corpus of argumentative student essays annotated with stance information and propose a computational model for automatically predicting essay stance. In an eva...
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