DeepAI AI Chat
Log In Sign Up

Riposte! A Large Corpus of Counter-Arguments

10/08/2019
by   Paul Reisert, et al.
Tohoku University
RIKEN
0

Constructive feedback is an effective method for improving critical thinking skills. Counter-arguments (CAs), one form of constructive feedback, have been proven to be useful for critical thinking skills. However, little work has been done for constructing a large-scale corpus of them which can drive research on automatic generation of CAs for fallacious micro-level arguments (i.e. a single claim and premise pair). In this work, we cast providing constructive feedback as a natural language processing task and create Riposte!, a corpus of CAs, towards this goal. Produced by crowdworkers, Riposte! contains over 18k CAs. We instruct workers to first identify common fallacy types and produce a CA which identifies the fallacy. We analyze how workers create CAs and construct a baseline model based on our analysis.

READ FULL TEXT

page 1

page 2

page 3

page 4

03/22/2021

Functional Pearl: Witness Me – Constructive Arguments Must Be Guided with Concrete Witness

Beloved Curry–Howard correspondence tells that types are intuitionistic ...
01/24/2023

Conclusion-based Counter-Argument Generation

In real-world debates, the most common way to counter an argument is to ...
07/27/2016

Mining Arguments from Cancer Documents Using Natural Language Processing and Ontologies

In the medical domain, the continuous stream of scientific research cont...
09/15/2020

Critical Thinking for Language Models

This paper takes a first step towards a critical thinking curriculum for...
04/12/2019

(Seemingly) Impossible Theorems in Constructive Mathematics

We prove some constructive results that on first and maybe even on secon...
07/21/2018

Laying the Groundwork for a Worker-Centric Peer Economy

The "gig economy" has transformed the ways in which people work, but in ...
09/28/2021

Multilingual Counter Narrative Type Classification

The growing interest in employing counter narratives for hatred interven...