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pro vyhledávání: '"Aletras, N"'
Graph convolutional network (GCN) is an effective neural network model for graph representation learning. However, standard GCN suffers from three main limitations: (1) most real-world graphs have no regular connectivity and node degrees can range fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c6137718668335727a606962393e94
https://eprints.whiterose.ac.uk/185186/18/1-s2.0-S003132032200142X-main.pdf
https://eprints.whiterose.ac.uk/185186/18/1-s2.0-S003132032200142X-main.pdf
Autor:
Chalkidis, I., Jana, A., Hartung, D., Bommarito, M., Androutsopoulos, I., Katz, D.M., Aletras, N.
Publikováno v:
arXiv
Chalkidis, I, Jana, A, Hartung, D, Bommarito, M, Androutsopoulos, I, Katz, D M & Aletras, N 2022, LexGLUE : A Benchmark Dataset for Legal Language Understanding in English . in S Muresan, P Nakov & A Villavicencio (eds), ACL 2022-60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) . Association for Computational Linguistics, Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 1, pp. 4310-4330, 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022, Dublin, Ireland, 22/05/2022 .
Chalkidis, I, Jana, A, Hartung, D, Bommarito, M, Androutsopoulos, I, Katz, D M & Aletras, N 2022, LexGLUE : A Benchmark Dataset for Legal Language Understanding in English . in S Muresan, P Nakov & A Villavicencio (eds), ACL 2022-60th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) . Association for Computational Linguistics, Proceedings of the Annual Meeting of the Association for Computational Linguistics, vol. 1, pp. 4310-4330, 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022, Dublin, Ireland, 22/05/2022 .
Laws and their interpretations, legal arguments and agreements\ 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 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c85a2e95c5eac220cb4ac89e54f086c
http://arxiv.org/abs/2110.00976
http://arxiv.org/abs/2110.00976
Akademický článek
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Publikováno v:
arXiv
Masked language modeling (MLM), a self-supervised pretraining objective, is widely used in natural language processing for learning text representations. MLM trains a model to predict a random sample of input tokens that have been replaced by a [MASK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d644c14f4287aa0958a8b3de2918924
http://arxiv.org/abs/2109.01819
http://arxiv.org/abs/2109.01819
Autor:
Chrysostomou, G., Aletras, N.
Publikováno v:
arXiv
Pretrained transformer-based models such as BERT have demonstrated state-of-the-art predictive performance when adapted into a range of natural language processing tasks. An open problem is how to improve the faithfulness of explanations (rationales)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee53499cae5c45290da7d61d4097b9fa
http://arxiv.org/abs/2108.13759
http://arxiv.org/abs/2108.13759
Autor:
Drawzeski, K., Galassi, Andrea, Jablonowska, A., Lagioia, F., Lippi, M., Micklitz, H.W., Sartor, G., Tagiuri, G., Torroni, P., Aletras, N., Androutsopoulos, I., Barrett, L., Goanta, C., Preotiuc-Pietro, D.
Publikováno v:
Natural Legal Language Processing (NLLP) : proceedings of the 2021 workshop: EMNLP2021 : November 10, 2021, Punta Cana, Dominican Republic, 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=Natural Legal Language Processing (NLLP) : proceedings of the 2021 workshop
Scopus-Elsevier
Proceedings of the Natural Legal Language Processing Workshop 2021
STARTPAGE=1;ENDPAGE=8;TITLE=Natural Legal Language Processing (NLLP) : proceedings of the 2021 workshop
Scopus-Elsevier
Proceedings of the Natural Legal Language Processing Workshop 2021
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service. The data set comprises a total of 100 contracts, obtained from 25 documents annotated in four different languages: English, Germ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::412b6ad16ce70288290f358c78c41300
https://hdl.handle.net/1814/74836
https://hdl.handle.net/1814/74836
Publikováno v:
arXiv
Physical places help shape how we perceive the experiences we have there. For the first time, we study the relationship between social media text and the type of the place from where it was posted, whether a park, restaurant, or someplace else. To fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c55ed6d8a69da7304b574441a0c17c
http://arxiv.org/abs/2009.14734
http://arxiv.org/abs/2009.14734
Autor:
Fomicheva, M, Sun, S, Yankovskaya, L, Blain, F, Guzmán, F, Fishel, M, Aletras, N, Chaudhary, V, Specia, L
Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT output at test time. Existing approaches require large amounts of exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::d52b125b9b77a0186eb15815faaa8d53
http://hdl.handle.net/10044/1/79483
http://hdl.handle.net/10044/1/79483
Akademický článek
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Akademický článek
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