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of 10
pro vyhledávání: '"Alan Ramponi"'
Publikováno v:
PeerJ Computer Science, Vol 8, p e1128 (2022)
Abusive language in online social media is a pervasive and harmful phenomenon which calls for automatic computational approaches to be successfully contained. Previous studies have introduced corpora and natural language processing approaches for spe
Externí odkaz:
https://doaj.org/article/c1c6493eece84bb68570f2cdbada9cfd
Publikováno v:
IEEE Access, Vol 8, Pp 150999-151011 (2020)
The body of biomedical literature is growing at an unprecedented rate, exceeding the ability of researchers to make effective use of this knowledge-rich amount of information. This growth has created interest in biomedical relation extraction approac
Externí odkaz:
https://doaj.org/article/565ecbac68fb46119c5b86a3d16508b2
Autor:
Silvia Parolo, Danilo Tomasoni, Pranami Bora, Alan Ramponi, Chanchala Kaddi, Karim Azer, Enrico Domenici, Susana Neves-Zaph, Rosario Lombardo
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Lysosomal storage diseases (LSDs) are characterized by the abnormal accumulation of substrates in tissues due to the deficiency of lysosomal proteins. Among the numerous clinical manifestations, chronic inflammation has been consistently reported for
Externí odkaz:
https://doaj.org/article/2a27f1fc531c4c38a37fb3da8ab9dcc7
Publikováno v:
IEEE Access, Vol 8, Pp 150999-151011 (2020)
The body of biomedical literature is growing at an unprecedented rate, exceeding the ability of researchers to make effective use of this knowledge-rich amount of information. This growth has created interest in biomedical relation extraction approac
Autor:
Enrico Domenici, Alan Ramponi, Danilo Tomasoni, Silvia Parolo, Susana Neves-Zaph, Karim Azer, Rosario Lombardo, Pranami Bora, Chanchala D. Kaddi
Publikováno v:
Frontiers in Cell and Developmental Biology
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Lysosomal storage diseases (LSDs) are characterized by the abnormal accumulation of substrates in tissues due to the deficiency of lysosomal proteins. Among the numerous clinical manifestations, chronic inflammation has been consistently reported for
Autor:
Ibrahim Sharaf, Alan Ramponi, Siti Oryza Khairunnisa, Barbara Plank, Marija Stepanović, Ahmet Üstün, Aizhan Imankulova, Rob van der Goot, Mamoru Komachi
Publikováno v:
NAACL-HLT
Scopus-Elsevier
van der Goot, R, Sharaf, I, Imankulova, A, Üstün, A, Stepanovic, M, Ramponi, A, Khairunnisa, S O, Komachi, M & Plank, B 2021, From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding . in Proceedings of NAACL . Association for Computational Linguistics .
Scopus-Elsevier
van der Goot, R, Sharaf, I, Imankulova, A, Üstün, A, Stepanovic, M, Ramponi, A, Khairunnisa, S O, Komachi, M & Plank, B 2021, From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding . in Proceedings of NAACL . Association for Computational Linguistics .
The lack of publicly available evaluation data for low-resource languages limits progress in Spoken Language Understanding (SLU). As key tasks like intent classification and slot filling require abundant training data, it is desirable to reuse existi
Publikováno v:
Ramponi, A, van der Goot, R, Lombardo, R & Plank, B 2020, Biomedical Event Extraction as Sequence Labeling . in Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics . < https://www.aclweb.org/anthology/2020.emnlp-main.431/ >
EMNLP (1)
EMNLP (1)
We introduce Biomedical Event Extraction as Sequence Labeling (BeeSL), a joint end-to-end neural information extraction model. BeeSL recasts the task as sequence labeling, taking advantage of a multi-label aware encoding strategy and jointly modeling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591f06bdc91b3059bcd3fcf9152647d3
https://pure.itu.dk/portal/da/publications/b8a97a71-d16d-4aa5-ad53-9c2dbc292346
https://pure.itu.dk/portal/da/publications/b8a97a71-d16d-4aa5-ad53-9c2dbc292346
Publikováno v:
EACL (System Demonstrations)
van der Goot, R, Üstün, A, Ramponi, A, Sharaf, I & Plank, B 2021, Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP . in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations . Association for Computational Linguistics, pp. 176-197 . < https://www.aclweb.org/anthology/2021.eacl-demos.22/ >
van der Goot, R, Üstün, A, Ramponi, A, Sharaf, I & Plank, B 2021, Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP . in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations . Association for Computational Linguistics, pp. 176-197 . < https://www.aclweb.org/anthology/2021.eacl-demos.22/ >
Transfer learning, particularly approaches that combine multi-task learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural Language Processing tremendously in recent years. In this paper we present MaCh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b84a016ab89a43ebf863285f78e5f66
http://arxiv.org/abs/2005.14672
http://arxiv.org/abs/2005.14672
Autor:
Barbara Plank, Alan Ramponi
Publikováno v:
COLING
Ramponi, A & Plank, B 2020, Neural Unsupervised Domain Adaptation in NLP—A Survey . in The 28th International Conference on Computational Linguistics . Association for Computational Linguistics .
Ramponi, A & Plank, B 2020, Neural Unsupervised Domain Adaptation in NLP—A Survey . in The 28th International Conference on Computational Linguistics . Association for Computational Linguistics .
Deep neural networks excel at learning from labeled data and achieve state-of-the-art results on a wide array of Natural Language Processing tasks. In contrast, learning from unlabeled data, especially under domain shift, remains a challenge. Motivat
Autor:
Alan Ramponi, Sara Tonelli
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6f56c20598386559a62ce8dbf9cad4