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pro vyhledávání: '"Sidiropoulos, Georgios"'
Speech-based open-domain question answering (QA over a large corpus of text passages with spoken questions) has emerged as an important task due to the increasing number of users interacting with QA systems via speech interfaces. Passage retrieval is
Externí odkaz:
http://arxiv.org/abs/2409.13483
Dense retrieval has become the new paradigm in passage retrieval. Despite its effectiveness on typo-free queries, it is not robust when dealing with queries that contain typos. Current works on improving the typo-robustness of dense retrievers combin
Externí odkaz:
http://arxiv.org/abs/2403.10939
Autor:
Jonk, Patrick, de Vries, Vincent, Wever, Rombout, Sidiropoulos, Georgios, Kanoulas, Evangelos
Publikováno v:
Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022)
Occurrence reporting is a commonly used method in safety management systems to obtain insight in the prevalence of hazards and accident scenarios. In support of safety data analysis, reports are often categorized according to a taxonomy. However, the
Externí odkaz:
http://arxiv.org/abs/2301.05663
Interacting with a speech interface to query a Question Answering (QA) system is becoming increasingly popular. Typically, QA systems rely on passage retrieval to select candidate contexts and reading comprehension to extract the final answer. While
Externí odkaz:
http://arxiv.org/abs/2209.12944
Dense retrieval is becoming one of the standard approaches for document and passage ranking. The dual-encoder architecture is widely adopted for scoring question-passage pairs due to its efficiency and high performance. Typically, dense retrieval mod
Externí odkaz:
http://arxiv.org/abs/2205.02303
Autor:
Sidiropoulos, Georgios1 (AUTHOR) sidiropoulos.georges@gmail.com, Karakasis, Paschalis2 (AUTHOR) pakar15@hotmail.com, Antoniadis, Antonios3 (AUTHOR) aantoniadis@gmail.com, Saplaouras, Athanasios4 (AUTHOR) saplaouras@hotmail.com, Karamitsos, Theodoros5 (AUTHOR) tkaramitsos@auth.gr, Fragakis, Nikolaos2 (AUTHOR) fragakis.nikos@googlemail.com
Publikováno v:
Journal of Clinical Medicine. Jul2024, Vol. 13 Issue 14, p4173. 14p.
In simple open-domain question answering (QA), dense retrieval has become one of the standard approaches for retrieving the relevant passages to infer an answer. Recently, dense retrieval also achieved state-of-the-art results in multi-hop QA, where
Externí odkaz:
http://arxiv.org/abs/2106.08433
Autor:
Vlachakis, Panayotis K., Tsiachris, Dimitris, Doundoulakis, Ioannis, Tsioufis, Panagiotis, Kordalis, Athanasios, Botis, Michail, Leontsinis, Ioannis, Antoniou, Christos-Konstantinos, Papachrysostomou, Chrysostomi, Dimitroula, Vasiliki, Maneta, Eleni, Chalkitis, Vasileios, Kotsakis, Theodoros, Skantzikas, Pavlos, Kafkas, Nikolaos, Sidiropoulos, Georgios, Roussos, Dimitris, Trikas, Athanasios, Koudounis, Georgios, Kolettis, Theofilos M., Smyrnioudis, Nikolaos, Christakos, Dimitrios, Chasikidis, Christos, Gatzoulis, Konstantinos A., Tsioufis, Konstantinos
Publikováno v:
In Journal of Cardiology May 2024 83(5):313-317
Knowledge graph simple question answering (KGSQA), in its standard form, does not take into account that human-curated question answering training data only cover a small subset of the relations that exist in a Knowledge Graph (KG), or even worse, th
Externí odkaz:
http://arxiv.org/abs/2005.12040
Autor:
Sidiropoulos, Georgios, Antoniadis, Antonios, Saplaouras, Athanasios, Bazoukis, Georgios, Letsas, Κonstantinos P., Karamitsos, Theodoros D., Giannopoulos, Georgios, Fragakis, Nikolaos
Publikováno v:
In Hellenic Journal of Cardiology March 2023