29 citations · 72 across the 7 of their papers we have counts for
7 papers
Learning from Auxiliary Sources in Argumentative Revision Classification
Tazin Afrin, Diane Litman
We develop models to classify desirable reasoning revisions in argumentative writing. We explore two approaches -- multi-task learning and transfer learning -- to take advantage of…
Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing
Tazin Afrin, Diane Litman
We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve classifier performance - using t…
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus
Omid Kashefi, Tazin Afrin, Meghan Dale +4
Analyzing how humans revise their writings is an interesting research question, not only from an educational perspective but also in terms of artificial intelligence. Better unders…
Effective Interfaces for Student-Driven Revision Sessions for Argumentative Writing
Tazin Afrin, Omid Kashefi, Christopher Olshefski +3
We present the design and evaluation of a web-based intelligent writing assistant that helps students recognize their revisions of argumentative essays. To understand how our revis…
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing
Tazin Afrin, Elaine Wang, Diane Litman +2
Automated writing evaluation systems can improve students' writing insofar as students attend to the feedback provided and revise their essay drafts in ways aligned with such feedb…
Annotation and Classification of Sentence-level Revision Improvement
Tazin Afrin, Diane Litman
Studies of writing revisions rarely focus on revision quality. To address this issue, we introduce a corpus of between-draft revisions of student argumentative essays, annotated as…
Identifying Editor Roles in Argumentative Writing from Student Revision Histories
Tazin Afrin, Diane Litman
We present a method for identifying editor roles from students' revision behaviors during argumentative writing. We first develop a method for applying a topic modeling algorithm t…