Zobrazeno 1 - 10
of 331
pro vyhledávání: '"P, Rossiello"'
Increasing amounts of structured data can provide value for research and business if the relevant data can be located. Often the data is in a data lake without a consistent schema, making locating useful data challenging. Table search is a growing re
Externí odkaz:
http://arxiv.org/abs/2308.13560
Data preparation, also called data wrangling, is considered one of the most expensive and time-consuming steps when performing analytics or building machine learning models. Preparing data typically involves collecting and merging data from complex h
Externí odkaz:
http://arxiv.org/abs/2306.11843
Autor:
Maria Pia Boccellino, Carmine Fiorentino, Luigi Rossiello, Amalia Lupoli, Giuseppe Argenziano, Andrea Ronchi, Stefano Caccavale
Publikováno v:
Dermatology Practical & Conceptual, Vol 14, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/b4c47c7a97c2440a827a7981f80fb775
Autor:
Rossiello, Gaetano, Chowdhury, Md Faisal Mahbub, Mihindukulasooriya, Nandana, Cornec, Owen, Gliozzo, Alfio Massimiliano
We propose KnowGL, a tool that allows converting text into structured relational data represented as a set of ABox assertions compliant with the TBox of a given Knowledge Graph (KG), such as Wikidata. We address this problem as a sequence generation
Externí odkaz:
http://arxiv.org/abs/2210.13952
Autor:
Glass, Michael, Rossiello, Gaetano, Chowdhury, Md Faisal Mahbub, Naik, Ankita Rajaram, Cai, Pengshan, Gliozzo, Alfio
As demonstrated by GPT-3 and T5, transformers grow in capability as parameter spaces become larger and larger. However, for tasks that require a large amount of knowledge, non-parametric memory allows models to grow dramatically with a sub-linear inc
Externí odkaz:
http://arxiv.org/abs/2207.06300
Autor:
Mihindukulasooriya, Nandana, Sava, Mike, Rossiello, Gaetano, Chowdhury, Md Faisal Mahbub, Yachbes, Irene, Gidh, Aditya, Duckwitz, Jillian, Nisar, Kovit, Santos, Michael, Gliozzo, Alfio
A research division plays an important role of driving innovation in an organization. Drawing insights, following trends, keeping abreast of new research, and formulating strategies are increasingly becoming more challenging for both researchers and
Externí odkaz:
http://arxiv.org/abs/2207.05188
Autor:
Chowdhury, Md Faisal Mahbub, Glass, Michael, Rossiello, Gaetano, Gliozzo, Alfio, Mihindukulasooriya, Nandana
In this paper, we present a system to showcase the capabilities of the latest state-of-the-art retrieval augmented generation models trained on knowledge-intensive language tasks, such as slot filling, open domain question answering, dialogue, and fa
Externí odkaz:
http://arxiv.org/abs/2204.03985
Autor:
Ademir Fontana, Lúcia Helena Cunha dos Anjos, Jaime Mujica Sallés, Marcos Gervasio Pereira, Roberto Oscar Pereyra Rossiello
Publikováno v:
Floresta e Ambiente, Vol 12, Iss 1, Pp 36-43 (2024)
Resumo O objetivo deste trabalho foi quantificar o teor de carbono orgânico no solo e nas frações da matéria orgânica do solo (MOS) em ambiente de clima temperado, da Sierra de Ánimas, Uruguai. A amostragem dos perfis de solo foi realizada em m
Externí odkaz:
https://doaj.org/article/285375dbf7334e0cb50ffa615a7a03fa
Relation extraction (RE) is an important information extraction task which provides essential information to many NLP applications such as knowledge base population and question answering. In this paper, we present a novel generative model for relati
Externí odkaz:
http://arxiv.org/abs/2202.13229
Autor:
Chowdhury, Md Faisal Mahbub, Rossiello, Gaetano, Glass, Michael, Mihindukulasooriya, Nandana, Gliozzo, Alfio
In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In this work, we opt for simplicity and show how a commonly used seq2seq
Externí odkaz:
http://arxiv.org/abs/2201.05302