Argument mining: A survey
J Lawrence, C Reed - Computational Linguistics, 2020 - direct.mit.edu
Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …
and reasoning expressed as arguments presented in natural language. Understanding …
A comparative study of automated legal text classification using random forests and deep learning
Automated legal text classification is a prominent research topic in the legal field. It lays the
foundation for building an intelligent legal system. Current literature focuses on international …
foundation for building an intelligent legal system. Current literature focuses on international …
Artificial intelligence as law: Presidential address to the seventeenth international conference on artificial intelligence and law
B Verheij - Artificial intelligence and law, 2020 - Springer
Abstract Information technology is so ubiquitous and AI's progress so inspiring that also
legal professionals experience its benefits and have high expectations. At the same time, the …
legal professionals experience its benefits and have high expectations. At the same time, the …
Semeval-2018 task 1: Affect in tweets
S Mohammad, F Bravo-Marquez… - Proceedings of the …, 2018 - aclanthology.org
Abstract We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of
subtasks on inferring the affectual state of a person from their tweet. For each task, we …
subtasks on inferring the affectual state of a person from their tweet. For each task, we …
Legal requirements on explainability in machine learning
Deep learning and other black-box models are becoming more and more popular today.
Despite their high performance, they may not be accepted ethically or legally because of …
Despite their high performance, they may not be accepted ethically or legally because of …
A review of argumentation for the social semantic web
Abstract Argumentation represents the study of views and opinions that humans express
with the goal of reaching a conclusion through logical reasoning. Since the 1950's, several …
with the goal of reaching a conclusion through logical reasoning. Since the 1950's, several …
Parsing argumentation structures in persuasive essays
C Stab, I Gurevych - Computational Linguistics, 2017 - direct.mit.edu
In this article, we present a novel approach for parsing argumentation structures. We identify
argument components using sequence labeling at the token level and apply a new joint …
argument components using sequence labeling at the token level and apply a new joint …
[PDF][PDF] Identifying argumentative discourse structures in persuasive essays
C Stab, I Gurevych - Proceedings of the 2014 conference on …, 2014 - aclanthology.org
In this paper, we present a novel approach for identifying argumentative discourse structures
in persuasive essays. The structure of argumentation consists of several components (ie …
in persuasive essays. The structure of argumentation consists of several components (ie …
[HTML][HTML] Enhancing argumentative writing with automated feedback and social comparison nudging
The advantages offered by natural language processing (NLP) and machine learning
enable students to receive automated feedback on their argumentation skills, independent …
enable students to receive automated feedback on their argumentation skills, independent …
Cross-topic argument mining from heterogeneous sources using attention-based neural networks
Argument mining is a core technology for automating argument search in large document
collections. Despite its usefulness for this task, most current approaches to argument mining …
collections. Despite its usefulness for this task, most current approaches to argument mining …