These features represent software solutions that DebateLab project will develop and deliver as services.
The project will be able to provide automated or semi-automated annotation of news feeds.
The project will be able to provide exploration, retrieval and summarization of arguments and opinions based on article processing.
The project will be able to provide argument and justification mining based on linked argument processing.
The project will be able to provide article recommendations based on the argument analysis.
The project will be able to enhance debate portals in order to involve the crowd participation.
The project will be able to analyze online debates in order to identify opinion trends and norms among diverse audiences.
DebateLab intends to pioneer research towards developing the theoretical machinery that can be used across diverse domains for representing, mining and reasoning with online arguments, and simultaneously develop and deliver software solutions (tools and services) supporting the uptake and initial exploitation of the related technologies. This research will pave the way for a new Web paradigm, a modern agora, where the different types of arguments and human deliberation can be amenable to machine-interpretable representation and algorithmic processing.
These people are the team members of DebateLab ensuring the success of the project
The latest news & updates related to the DebateLab project
The DebateLab project is conducting research towards representing, mining and reasoning with online arguments. The goal of DebateLab is to offer a suite of tools and services that will assist both the work of the professional journalist in accomplishing everyday tasks (e.g., writing, archiving, retrieving articles), as well as the activity of the ordinary Web user (reader) who wishes to be well-informed about topics or entities of interest (e.g., persons, locations, events).
DebateLab is conducted at FORTH-ICS in collaboration with SKEL-NCSR “Demokritos”, by a balanced consortium comprising senior, principal and postdoctoral researchers, PhD students and a software engineer.
For more information, visit the FORTH website here.
This poster presents the work that has be done in the context of the DebateLab project, by briefly describing the pipeline of the EL-NEL implementation for non-English language, the modular architecture and alternative options for each component of EL-NEL. The aim of this work is to present the process followed for identifying sub-strings (entity-mentions) within an unstructured textual argument and then mapping them to uiniquely identified entity descriptions provided in the Knowledge Bases (KBs).
For more information, see the paper here.
A demo is also available, here.
Belief Revision and Argumentation Approaches to Support Commonsense Reasoning Allowing artificial agents to model and reason about commonsense phenomena is one of the major problems of AI research since its conception. In this talk, Giorgos Flouris presents recent (and partly unpublished) research that has been performed in the Symbolic AI group of FORTH-ICS, which connects the fields of commonsense reasoning with the fields of belief revision and computational argumentation.
The presented work has been published in Commonsense-17, AMAI and IJCAI-21.
This research was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “1st Call for H.F.R.I. Research Projects to support Faculty Members and Researchers and the procurement of high-cost research equipment” grant (Project Number: 4195).