no code implementations • Findings (NAACL) 2022 • Christos Papadopoulos, Yannis Panagakis, Manolis Koubarakis, Mihalis Nicolaou
We test our proposed method on finetuning multiple natural language understanding tasks by employing BERT-Large as an instantiation of the Transformer and the GLUE as the evaluation benchmark.
no code implementations • 6 Feb 2025 • Sergios-Anestis Kefalidis, Konstantinos Plas, Manolis Koubarakis
TerraQ is a spatiotemporal question-answering engine for satellite image archives.
no code implementations • 12 Oct 2024 • Angelos Poulis, Eleni Tsalapati, Manolis Koubarakis
In this way, we systematically investigate the logical reasoning capabilities of a supervised fine-tuned DeBERTa-based model and two large language models (GPT-3. 5, GPT-4) with few-shot prompting.
no code implementations • 10 Oct 2024 • Vasileios Saketos, Despina-Athanasia Pantazi, Manolis Koubarakis
We develop four versions of GreekLegalRoBERTa, which are four large language models trained on Greek legal and nonlegal text.
1 code implementation • 15 Nov 2023 • Angelos Poulis, Eleni Tsalapati, Manolis Koubarakis
In this way, we systematically investigate the reasoning ability of a supervised fine-tuned DeBERTa-based model and of two large language models (GPT-3. 5, GPT-4) with few-shot prompting.
1 code implementation • International Semantic Web Conference 2023 • Sergios-Anestis Kefalidis, Dharmen Punjani, Eleni Tsalapati, Konstantinos Plas, Mariangela Pollali, Michail Mitsios, Myrto Tsokanaridou, Manolis Koubarakis, Pierre Maret
We present the dataset GeoQuestions1089 for benchmarking geospatial question answering engines.
Ranked #1 on
Question Answering
on GeoQuestions1089
1 code implementation • 24 Apr 2023 • Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, Manolis Koubarakis
This is applied to both main steps of ER, i. e., blocking and matching.
1 code implementation • 14 Feb 2023 • Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl
This review aims to provide the reader with an overview of causal methods that have been developed to improve the trustworthiness of AI models.
1 code implementation • EMNLP (NLLP) 2021 • Christos Papaloukas, Ilias Chalkidis, Konstantinos Athinaios, Despina-Athanasia Pantazi, Manolis Koubarakis
In this work, we study the task of classifying legal texts written in the Greek language.
no code implementations • 14 Jul 2020 • Dharmen Punjani, Markos Iliakis, Theodoros Stefou, Kuldeep Singh, Andreas Both, Manolis Koubarakis, Iosif Angelidis, Konstantina Bereta, Themis Beris, Dimitris Bilidas, Theofilos Ioannidis, Nikolaos Karalis, Christoph Lange, Despina-Athanasia Pantazi, Christos Papaloukas, Georgios Stamoulis
We give a detailed description of the system's architecture, its underlying algorithms, and its evaluation using a set of 201 natural language questions.