
An Operational Guide to Monitorability __ Luca Aceto
January 13, 2021
Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents.
The intended audience of the school are researchers and students with some research background in computer science and engineering or closely related fields. Background in programming with some programming language is required as a perquisite of the school.
January 13, 2021
December 30, 2020
December 23, 2020
Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents.
The intended audience of the school are researchers and students with some research background in computer science and engineering or closely related fields. Background in programming with some programming language is required as a perquisite of the school.
January 13, 2021
December 30, 2020
December 23, 2020