Implicit Knowledge in Argumentative Texts: An Annotated Corpus

12/04/2019
by   Maria Becker, et al.
0

When speaking or writing, people omit information that seems clear and evident, such that only part of the message is expressed in words. Especially in argumentative texts it is very common that (important) parts of the argument are implied and omitted. We hypothesize that for argument analysis it will be beneficial to reconstruct this implied information. As a starting point for filling such knowledge gaps, we build a corpus consisting of high-quality human annotations of missing and implied information in argumentative texts. To learn more about the characteristics of both the argumentative texts and the added information, we further annotate the data with semantic clause types and commonsense knowledge relations. The outcome of our work is a carefully de-signed and richly annotated dataset, for which we then provide an in-depth analysis by investigating characteristic distributions and correlations of the assigned labels. We reveal interesting patterns and intersections between the annotation categories and properties of our dataset, which enable insights into the characteristics of both argumentative texts and implicit knowledge in terms of structural features and semantic information. The results of our analysis can help to assist automated argument analysis and can guide the process of revealing implicit information in argumentative texts automatically.

READ FULL TEXT
research
06/10/2022

RuCoCo: a new Russian corpus with coreference annotation

We present a new corpus with coreference annotation, Russian Coreference...
research
03/15/2017

InScript: Narrative texts annotated with script information

This paper presents the InScript corpus (Narrative Texts Instantiating S...
research
06/01/2020

Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing

Argumentative quality is an important feature of everyday writing in man...
research
07/23/2019

Structured Knowledge Discovery from Massive Text Corpus

Nowadays, with the booming development of the Internet, people benefit f...
research
05/07/2021

CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts

In this work we leverage commonsense knowledge in form of knowledge path...
research
05/13/2022

MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset

During the past decade, neural network models have made tremendous progr...
research
12/02/2015

Klasifikasi Komponen Argumen Secara Otomatis pada Dokumen Teks berbentuk Esai Argumentatif

By automatically recognize argument component, essay writers can do some...

Please sign up or login with your details

Forgot password? Click here to reset