Search Results for author: Christopher Olshefski

Found 4 papers, 0 papers with code

ArgRewrite V.2: an Annotated Argumentative Revisions Corpus

no code implementations3 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

The Discussion Tracker Corpus of Collaborative Argumentation

no code implementations LREC 2020 Christopher Olshefski, Luca Lugini, Ravneet Singh, Diane Litman, Amanda Godley

Although Natural Language Processing (NLP) research on argument mining has advanced considerably in recent years, most studies draw on corpora of asynchronous and written texts, often produced by individuals.

Argument Mining Descriptive +2

Annotating Student Talk in Text-based Classroom Discussions

no code implementations WS 2018 Luca Lugini, Diane Litman, Amanda Godley, Christopher Olshefski

Classroom discussions in English Language Arts have a positive effect on students' reading, writing and reasoning skills.

Specificity

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