Adapting named entity types to new ontologies in a microblogging environment

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LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems

D Nozza, P Manchanda, E Fersini, M Palmonari… - Information Processing …, 2021 - Elsevier
Abstract The task of Named Entity Recognition (NER) is aimed at identifying named entities
in a given text and classifying them into pre-defined domain entity types such as persons …
被引用次数：62 相关文章 所有 6 个版本

Word embeddings for unsupervised named entity linking

D Nozza, C Sas, E Fersini, E Messina - … 28–30, 2019, Proceedings, Part II …, 2019 - Springer
The huge amount of textual user-generated content on the Web has incredibly grown in the
last decade, creating new relevant opportunities for different real-world applications and …
被引用次数：6 相关文章 所有 6 个版本
[PDF] unimib.it

Deep Learning for Feature Representation in Natural Language Processing

D Nozza - 2018 - boa.unimib.it
The huge amount of textual user-generated content on the Web has incredibly grown in the
last decade, creating new relevant opportunities for different real-world applications and …
相关文章 所有 4 个版本