Learning from Auxiliary Sources in Argumentative Revision Classification

no code implementations • 13 Sep 2023 • Tazin Afrin, Diane Litman

We develop models to classify desirable reasoning revisions in argumentative writing.

Classification Multi-Task Learning

Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing

1 code implementation • 10 Feb 2023 • Tazin Afrin, Diane Litman

We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing.

ArgRewrite V.2: an Annotated Argumentative Revisions Corpus

no code implementations • 3 Jun 2022 • Omid Kashefi, Tazin Afrin, Meghan Dale, Christopher Olshefski, Amanda Godley, Diane Litman, Rebecca Hwa

The variety of revision unit scope and purpose granularity levels in ArgRewrite, along with the inclusion of new types of meta-data, can make it a useful resource for research and applications that involve revision analysis.

Self-Driving Cars

Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing

no code implementations • WS 2020 • Tazin Afrin, Elaine Wang, Diane Litman, Lindsay C. Matsumura, Richard Correnti

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 feedback.

Automated Writing Evaluation Sentence

Annotation and Classification of Sentence-level Revision Improvement

no code implementations • WS 2018 • Tazin Afrin, Diane Litman

Studies of writing revisions rarely focus on revision quality.

BIG-bench Machine Learning Classification +2

Identifying Editor Roles in Argumentative Writing from Student Revision Histories

no code implementations • 3 Sep 2019 • Tazin Afrin, Diane Litman

We present a method for identifying editor roles from students' revision behaviors during argumentative writing.

Position