"Sharks are not the threat humans are": Argument Component Segmentation in School Student Essays

03/08/2021
by   Tariq Alhindi, et al.
0

Argument mining is often addressed by a pipeline method where segmentation of text into argumentative units is conducted first and proceeded by an argument component identification task. In this research, we apply a token-level classification to identify claim and premise tokens from a new corpus of argumentative essays written by middle school students. To this end, we compare a variety of state-of-the-art models such as discrete features and deep learning architectures (e.g., BiLSTM networks and BERT-based architectures) to identify the argument components. We demonstrate that a BERT-based multi-task learning architecture (i.e., token and sentence level classification) adaptively pretrained on a relevant unlabeled dataset obtains the best results

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

11/01/2020

Aspect-Based Argument Mining

Computational Argumentation in general and Argument Mining in particular...
12/02/2015

Klasifikasi Komponen Argumen Secara Otomatis pada Dokumen Teks berbentuk Esai Argumentatif

By automatically recognize argument component, essay writers can do some...
09/06/2019

Argument Component Classification for Classroom Discussions

This paper focuses on argument component classification for transcribed ...
04/22/2019

Robust Argument Unit Recognition and Classification

Argument mining is generally performed on the sentence-level -- it is as...
06/17/2020

An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach

We present a computational exploration of argument critique writing by y...
02/24/2021

Multi-Task Attentive Residual Networks for Argument Mining

We explore the use of residual networks and neural attention for argumen...
04/20/2017

Neural End-to-End Learning for Computational Argumentation Mining

We investigate neural techniques for end-to-end computational argumentat...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.