Machine knowledge: Creation and curation of comprehensive knowledge bases
Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
A brief overview of universal sentence representation methods: A linguistic view
How to transfer the semantic information in a sentence to a computable numerical
embedding form is a fundamental problem in natural language processing. An informative …
embedding form is a fundamental problem in natural language processing. An informative …
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 …
Fake news stance detection using deep learning architecture (CNN-LSTM)
Society and individuals are negatively influenced both politically and socially by the
widespread increase of fake news either way generated by humans or machines. In the era …
widespread increase of fake news either way generated by humans or machines. In the era …
A retrospective analysis of the fake news challenge stance detection task
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a stance
classification task as a crucial first step towards detecting fake news. To date, there is no in …
classification task as a crucial first step towards detecting fake news. To date, there is no in …
[PDF][PDF] Five years of argument mining: A data-driven analysis.
Argument mining is the research area aiming at extracting natural language arguments and
their relations from text, with the final goal of providing machine-processable structured data …
their relations from text, with the final goal of providing machine-processable structured data …
[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 …
ArgueTutor: An adaptive dialog-based learning system for argumentation skills
T Wambsganss, T Kueng, M Soellner… - Proceedings of the 2021 …, 2021 - dl.acm.org
Techniques from Natural-Language-Processing offer the opportunities to design new dialog-
based forms of human-computer interaction as well as to analyze the argumentation quality …
based forms of human-computer interaction as well as to analyze the argumentation quality …
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 …
Neural end-to-end learning for computational argumentation mining
We investigate neural techniques for end-to-end computational argumentation mining (AM).
We frame AM both as a token-based dependency parsing and as a token-based sequence …
We frame AM both as a token-based dependency parsing and as a token-based sequence …