Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lopez, Vanessa"'
Autor:
Chen, Jiaoyan, Dong, Hang, Hastings, Janna, Jiménez-Ruiz, Ernesto, López, Vanessa, Monnin, Pierre, Pesquita, Catia, Škoda, Petr, Tamma, Valentina
The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines. Research efforts in life sciences are heavily data-driven, as they pr
Externí odkaz:
http://arxiv.org/abs/2309.17255
Autor:
Picco, Gabriele, Galindo, Marcos Martínez, Purpura, Alberto, Fuchs, Leopold, López, Vanessa, Lam, Hoang Thanh
Publikováno v:
Association for Computational Linguistics. 3 (2023) 357-368
The Zero-Shot Learning (ZSL) task pertains to the identification of entities or relations in texts that were not seen during training. ZSL has emerged as a critical research area due to the scarcity of labeled data in specific domains, and its applic
Externí odkaz:
http://arxiv.org/abs/2307.13497
Autor:
Lam, Hoang Thanh, Sbodio, Marco Luca, Galindo, Marcos Martínez, Zayats, Mykhaylo, Fernández-Díaz, Raúl, Valls, Víctor, Picco, Gabriele, Ramis, Cesar Berrospi, López, Vanessa
Recent research on predicting the binding affinity between drug molecules and proteins use representations learned, through unsupervised learning techniques, from large databases of molecule SMILES and protein sequences. While these representations h
Externí odkaz:
http://arxiv.org/abs/2306.12802
Autor:
Lopez, Vanessa, Picco, Gabriele, Vejsbjerg, Inge, Hoang, Thanh Lam, Hou, Yufang, Sbodio, Marco Luca, Segrave-Daly, John, Moga, Denisa, Swords, Sean, Wei, Miao, Carroll, Eoin
Regulations govern many aspects of citizens' daily lives. Governments and businesses routinely automate these in the form of coded rules (e.g., to check a citizen's eligibility for specific benefits). However, the path to automation is long and chall
Externí odkaz:
http://arxiv.org/abs/2212.06882
Autor:
Lam, Hoang Thanh, Picco, Gabriele, Hou, Yufang, Lee, Young-Suk, Nguyen, Lam M., Phan, Dzung T., López, Vanessa, Astudillo, Ramon Fernandez
In many machine learning tasks, models are trained to predict structure data such as graphs. For example, in natural language processing, it is very common to parse texts into dependency trees or abstract meaning representation (AMR) graphs. On the o
Externí odkaz:
http://arxiv.org/abs/2110.09131