We are very pleased to announce that our group got a paper accepted for presentation at the EPIA 2019: 19th EPIA Conference on Artificial Intelligence, which will be held on Sep 3 – 6, 2019 Vila Real, Portugal.
The EPIA Conference on Artificial Intelligence is a well-established European conference in the field of AI. The 19th edition, EPIA 2019, will take place at UTAD University, Vila Real in September 3rd-6th, 2019. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The purpose of this conference is to promote research in all Artificial Intelligence (AI) areas, covering both theoretical/foundational issues and applications, as well as the scientific exchange among researchers, engineers and practitioners in related disciplines.
Here is the pre-print of the accepted paper with its abstract:
- “SimpleLSTM: A Deep-Learning Approach to Simple-Claims Classification” by Piyush Chawla, Diego Esteves, Karthik Pujar and Jens Lehmann.
Abstract: The information on the internet suffers from noise and corrupt knowledge that may arise due to human and mechanical errors. To further exacerbate this problem, an ever-increasing amount of fake news on social media, or the internet in general, has created another challenge to drawing correct information from the web. This huge sea of data makes it difficult for human fact checkers and journalists to assess all the information manually. In recent years automated Fact-Checking has emerged as a branch of natural language processing devoted to achieving this feat. In this work, we give an overview of recent work, emphasizing on the key challenges faced during the development of such frameworks. We benchmark existing solutions to perform claim classification and introduce a new model dubbed SimpleLSTM, which outperforms baseline by 11%, 10.2% and 18.7% on FEVER-Support, FEVER-Reject, and 3-Class datasets respectively. The data, metadata, and code are released as open-source and are available at https://github.com/DeFacto/SimpleLSTM.
This work was partially funded by the European Union Marie Curie ITN Cleopatra project (GA no. 812997).
Looking forward to seeing you at The EPIA 2019.