Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Ion Androutsopoulos"'
Autor:
Panos Constantopoulos, Costis Dallas, Ion Androutsopoulos, Stavros Angelis, Antonios Deligiannakis, Dimitris Gavrilis, Yannis Kotidis, Christos Papatheodorou
Publikováno v:
International Journal of Digital Curation, Vol 4, Iss 1, Pp 34-45 (2009)
The proliferation of Web, database and social networking technologies has enabled us to produce, publish and exchange digital assets at an enormous rate. This vast amount of information that is either digitized or born-digital needs to be collected,
Externí odkaz:
https://doaj.org/article/6883323b29b14c39bbac246ef91b4315
Autor:
Thea Sommerschield, Yannis Assael, John Pavlopoulos, Vanessa Stefanak, Andrew Senior, Chris Dyer, John Bodel, Jonathan Prag, Ion Androutsopoulos, Nando de Freitas
Publikováno v:
Computational Linguistics. :1-44
Ancient languages preserve the cultures and histories of the past. However, their study is fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from deciphering lost languages to restoring damaged inscriptions,
Autor:
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Léo Laugier
Publikováno v:
First Monday; Volume 27, Number 9-5 September 2022
User posts whose perceived toxicity depends on conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on existing datasets will also tend to disregard context, making the detection of context-sensiti
Autor:
Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras
Publicly traded companies are required to submit periodic reports with eXtensive Business Reporting Language (XBRL) word-level tags. Manually tagging the reports is tedious and costly. We, therefore, introduce XBRL tagging as a new entity extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950b30749707cd00deff5e44bec3cc69
http://arxiv.org/abs/2203.06482
http://arxiv.org/abs/2203.06482
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Autor:
Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Ion Androutsopoulos, Nikolaos Aletras, Prodromos Malakasiotis
Publikováno v:
arXiv
NAACL-HLT
NAACL-HLT
Interpretability or explainability is an emerging research field in NLP. From a user-centric point of view, the goal is to build models that provide proper justification for their decisions, similar to those of humans, by requiring the models to sati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6d7b2956c6bf39218fa7dacb630ffc
http://arxiv.org/abs/2103.13084
http://arxiv.org/abs/2103.13084
Diagnostic captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination. DC can assist inexperienced physicians, reducing clinical errors. It can also help experience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56dda6d7263955512ff150ec5ab2df50
http://arxiv.org/abs/2101.07299
http://arxiv.org/abs/2101.07299
Autor:
Dimitris Pappas, Ion Androutsopoulos
Publikováno v:
ACL/IJCNLP (1)
Question answering (QA) systems for large document collections typically use pipelines that (i) retrieve possibly relevant documents, (ii) re-rank them, (iii) rank paragraphs or other snippets of the top-ranked documents, and (iv) select spans of the
Autor:
Ion Androutsopoulos, Dirk Hartung, Nikolaos Aletras, Michael James Bommarito, Ilias Chalkidis, Daniel Martin Katz, Abhik Jana
Publikováno v:
SSRN Electronic Journal.
Law, interpretations of law, legal arguments, agreements, etc. are typically expressed in writing, leading to the production of vast corpora of legal text. Their analysis, which is at the center of legal practice, becomes increasingly elaborate as th
Publikováno v:
Chalkidis, I, Fergadiotis, M & Androutsopoulos, I 2021, MultiEURLEX-A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer . in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, pp. 6974-6996, Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, 07/11/2021 . https://doi.org/10.18653/v1/2021.emnlp-main.559
We introduce MULTI-EURLEX, a new multilingual dataset for topic classification of legal documents. The dataset comprises 65k European Union (EU) laws, officially translated in 23 languages, annotated with multiple labels from the EUROVOC taxonomy. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1855bdb166e21b7393de7bd9c6aad5a0
https://curis.ku.dk/portal/da/publications/multieurlex--a-multilingual-and-multilabel-legal-document-classification-dataset-for-zeroshot-crosslingual-transfer(447210f4-ba0a-4033-afc0-e0d9e4a429c0).html
https://curis.ku.dk/portal/da/publications/multieurlex--a-multilingual-and-multilabel-legal-document-classification-dataset-for-zeroshot-crosslingual-transfer(447210f4-ba0a-4033-afc0-e0d9e4a429c0).html