Search Results for author: Georgios Paliouras

Found 32 papers, 14 papers with code

FiNER: Financial Numeric Entity Recognition for XBRL Tagging

1 code implementation ACL 2022 Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras

We, therefore, introduce XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1. 1M sentences with gold XBRL tags.

TAG

Tree-based Focused Web Crawling with Reinforcement Learning

1 code implementation12 Dec 2021 Andreas Kontogiannis, Dimitrios Kelesis, Vasilis Pollatos, Georgios Paliouras, George Giannakopoulos

A focused crawler aims at discovering as many web pages relevant to a target topic as possible, while avoiding irrelevant ones; i. e. maximizing the harvest rate.

reinforcement-learning

Symbolic Register Automata for Complex Event Recognition and Forecasting

no code implementations8 Oct 2021 Elias Alevizos, Alexander Artikis, Georgios Paliouras

We show how SRA can be used in Complex Event Recognition in order to detect patterns upon streams of events, using our framework that provides declarative and compositional semantics, and that allows for a systematic treatment of such automata.

MAGNEx: A Model Agnostic Global Neural Explainer

no code implementations29 Sep 2021 Nikolaos Manginas, Prodromos Malakasiotis, Eirini Spyropoulou, Ion Androutsopoulos, Georgios Paliouras

Black-box decision models have been widely adopted both in industry and academia due to their excellent performance across many challenging tasks and domains.

Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report

no code implementations1 Sep 2021 Elias Alevizos, Alexander Artikis, Georgios Paliouras

In particular, prediction suffix trees, being variable-order Markov models, have the ability to capture long-term dependencies in a stream by remembering only those past sequences that are informative enough.

Harvesting the Public MeSH Note field

no code implementations1 Jun 2021 Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras

In this document, we report an analysis of the Public MeSH Note field of the new descriptors introduced in the MeSH thesaurus between 2006 and 2020.

Online Learning Probabilistic Event Calculus Theories in Answer Set Programming

1 code implementation31 Mar 2021 Nikos Katzouris, Alexander Artikis, Georgios Paliouras

Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input using predefined event patterns.

Activity Recognition online learning

Parallel Model Exploration for Tumor Treatment Simulations

1 code implementation25 Mar 2021 Charilaos Akasiadis, Miguel Ponce-de-Leon, Arnau Montagud, Evangelos Michelioudakis, Alexia Atsidakou, Elias Alevizos, Alexander Artikis, Alfonso Valencia, Georgios Paliouras

The main challenges are first to calibrate the simulators so as to reproduce real-world cases, and second, to search for specific values of the parameter space concerning effective drug treatments.

Drug Discovery

What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus

1 code implementation20 Jan 2021 Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras

To this end, we propose a framework to categorize new descriptors based on their current relation to older descriptors.

Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision

1 code implementation15 May 2020 Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas, Georgios Paliouras

To this end, we propose a new method that uses weak supervision to train a concept annotator on the literature available for a particular disease.

iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge

2 code implementations18 Dec 2019 Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras

In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources.

Tensor Factorization with Label Information for Fake News Detection

1 code implementation11 Aug 2019 Frosso Papanastasiou, Georgios Katsimpras, Georgios Paliouras

As the detection of fake news is increasingly considered a technological problem, it has attracted considerable research.

Fake News Detection

Wayeb: a Tool for Complex Event Forecasting

no code implementations16 Dec 2018 Elias Alevizos, Alexander Artikis, Georgios Paliouras

Complex Event Processing (CEP) systems have appeared in abundance during the last two decades.

Event Forecasting with Pattern Markov Chains

no code implementations27 Apr 2018 Elias Alevizos, Alexander Artikis, Georgios Paliouras

We present a system for online probabilistic event forecasting.

Semi-Supervised Online Structure Learning for Composite Event Recognition

1 code implementation1 Mar 2018 Evangelos Michelioudakis, Alexander Artikis, Georgios Paliouras

Online structure learning approaches, such as those stemming from Statistical Relational Learning, enable the discovery of complex relations in noisy data streams.

Activity Recognition Relational Reasoning

The Complex Event Recognition Group

no code implementations12 Feb 2018 Elias Alevizos, Alexander Artikis, Nikos Katzouris, Evangelos Michelioudakis, Georgios Paliouras

The Complex Event Recognition (CER) group is a research team, affiliated with the National Centre of Scientific Research "Demokritos" in Greece.

Distributed Online Learning of Event Definitions

1 code implementation5 May 2017 Nikos Katzouris, Alexander Artikis, Georgios Paliouras

Logic-based event recognition systems infer occurrences of events in time using a set of event definitions in the form of first-order rules.

Activity Recognition Inductive logic programming +1

Online Learning of Event Definitions

1 code implementation30 Jul 2016 Nikos Katzouris, Alexander Artikis, Georgios Paliouras

The Event Calculus is a temporal logic that has been used as a basis in event recognition applications, providing among others, direct connections to machine learning, via Inductive Logic Programming (ILP).

Activity Recognition Inductive logic programming +1

Reactive Reasoning with the Event Calculus

no code implementations20 May 2015 Alexander Artikis, Marek Sergot, Georgios Paliouras

Systems for symbolic event recognition accept as input a stream of time-stamped events from sensors and other computational devices, and seek to identify high-level composite events, collections of events that satisfy some pattern.

Probabilistic Event Calculus for Event Recognition

1 code implementation13 Jul 2012 Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis, George A. Vouros

In a typical event recognition application, however, these systems often have to deal with a significant amount of uncertainty.

Activity Recognition

A Probabilistic Logic Programming Event Calculus

2 code implementations9 Apr 2012 Anastasios Skarlatidis, Alexander Artikis, Jason Filippou, Georgios Paliouras

The input of our system is a set of time-stamped short-term activities (STA) detected on video frames.

Activity Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.