[PDF][PDF] Overview of the evalita 2016 named entity recognition and linking in italian tweets (neel-it) task
This report describes the main outcomes of the 2016 Named Entity rEcognition and Linking
in Italian Tweet (NEEL-IT) Challenge. The goal of the challenge is to provide a benchmark …
in Italian Tweet (NEEL-IT) Challenge. The goal of the challenge is to provide a benchmark …
Which matters most? comparing the impact of concept and document relationships in topic models
Topic models have been widely used to discover hidden topics in a collection of documents.
In this paper, we propose to investigate the role of two different types of relational …
In this paper, we propose to investigate the role of two different types of relational …
Word embeddings for unsupervised named entity linking
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 …
last decade, creating new relevant opportunities for different real-world applications and …
Что имеет большее значение? Сравнение влияния концептуальных и документальных отношений в тематических моделях
С ТЕРРАНЬИ, Э ФЕРСИНИ, Э МЕССИНА… - Международный …, 2021 - elibrary.ru
Тематические модели широко используются для обнаружения скрытых тем в
коллекциях документов. В статье предполагается изучить роль двух разных типов …
коллекциях документов. В статье предполагается изучить роль двух разных типов …
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 …
last decade, creating new relevant opportunities for different real-world applications and …