activity
20192021
most citedContextual Argument Component Classification for Class Discussions

6 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL20213 cited

Discussion Tracker: Supporting Teacher Learning about Students' Collaborative Argumentation in High School Classrooms

Luca Lugini, Christopher Olshefski, Ravneet Singh +2

Teaching collaborative argumentation is an advanced skill that many K-12 teachers struggle to develop. To address this, we have developed Discussion Tracker, a classroom discussion…

cs.CL20216 cited

Contextual Argument Component Classification for Class Discussions

Luca Lugini, Diane Litman

Argument mining systems often consider contextual information, i.e. information outside of an argumentative discourse unit, when trained to accomplish tasks such as argument compon…

cs.CL20202 cited

The Discussion Tracker Corpus of Collaborative Argumentation

Christopher Olshefski, Luca Lugini, Ravneet Singh +2

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, of…

cs.CL2019

Annotating Student Talk in Text-based Classroom Discussions

Luca Lugini, Diane Litman, Amanda Godley +1

Classroom discussions in English Language Arts have a positive effect on students' reading, writing and reasoning skills. Although prior work has largely focused on teacher talk an…

cs.CL2019

Argument Component Classification for Classroom Discussions

Luca Lugini, Diane Litman

This paper focuses on argument component classification for transcribed spoken classroom discussions, with the goal of automatically classifying student utterances into claims, evi…

cs.CL2019

Predicting Specificity in Classroom Discussion

Luca Lugini, Diane Litman

High quality classroom discussion is important to student development, enhancing abilities to express claims, reason about other students' claims, and retain information for longer…