Access Restriction

Researcher Jill, Derrick Higgins ♦ Burstein, Jill ♦ Marcu, Daniel
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Multiple Aspect ♦ Student Essay ♦ Essay Question ♦ Discourse Structure ♦ Discourse Element ♦ Online Essay Evaluation Service ♦ Essay-based Discourse Element ♦ Support Vector Machine ♦ Intra-sentential Quality ♦ Semantic Similarity Measure ♦ New System ♦ Rule-based Heuristic ♦ Thesis Statement
Abstract Online Essay Evaluation Service includes a capability that labels sentences in student writing with essay-based discourse elements (e.g., thesis statements). We describe a new system that enhances Criterion's capability, by evaluating multiple aspects of coherence in essays. This system identifies features of sentences based on semantic similarity measures and discourse structure. A support vector machine uses these features to capture breakdowns in coherence due to relatedness to the essay question and relatedness between discourse elements. Intra-sentential quality is evaluated with rule-based heuristics. Results indicate that the system yields higher performance than a baseline on all three aspects.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Thesis