ArgMining2022: Shared Task on Validity and Novelty of Arguments

Event Notification Type: 
Call for Participation
Abbreviated Title: 
ArgMining2022-Shared Task
Location: 
COLING 2022 (hybrid)
Wednesday, 1 June 2022 to Monday, 5 September 2022
State: 
Country: 
Republic of Korea
City: 
Gyeongju
Contact: 
Philipp Heinisch
Philipp Cimiano
Anette Frank
Juri Opitz
Submission Deadline: 
Friday, 5 August 2022

In recent years, there has been increased interest in understanding how to assess the quality of arguments systematically. Wachsmuth et al. proposed a framework for quality assessment consisting of the following top dimensions: logic, rhetoric, and dialectic. Regarding the dimension of logic, there has been some work to assess the quality of an argument or conclusion automatically.

Recently, there has also been interest in the generation of conclusions or arguments. In order to guide the process of automatically generating a conclusion, our assumption is that we will need metrics that can be automatically computed to estimate the suitability and quality of a certain conclusion. Two important metrics/objectives are validity and novelty. A conclusion should be **valid**, that is, that the conclusion “follows” from the premise. At the same time, it is easy to produce conclusions that “follow” from the premise by repeating (parts of) the premise in the conclusion, trivially generating a “valid” but vacuous conclusion. In this sense, it is important to assess whether conclusions/arguments are not only valid, but also **novel**.

We define **validity** as requiring the existence of logical inferences that link the premise to the conclusion. In contrast, **novelty** requires the presence of novel _premise-related_ content and/or combination of the content in the premises in a way that goes beyond what is stated in the premise. Hence, a conclusion that is valid but not novel could be a repetition, a paraphrase or a summary of the premise, and only a novel conclusion offers a piece of information that extends what is already covered by the premise – whether it supports or contests the premise.

We divide the task of Validity-Novelty-Prediction into two subtasks.

Task A: The first task consists of a binary classification task along the dimensions of novelty and validity, classifying a conclusion as being valid/novel or not given a textual premise.
Task B: The second subtask will consist a comparison of two conclusions in terms of validity/novelty

Participants can choose whether to address Task A or Task B, or both.