In this paper, we address the problem of finding Named Entities in very large micropost datasets. We propose methods to generate a sample of representative ...

This paper proposes methods to generate a sample of representative microposts by discovering tweets that are likely to refer to new entities, ...

In this paper, we address the problem of finding Named Entities in very large micropost datasets. We propose methods to generate a sample of representative ...

In this paper, we address the problem of finding Named Entities in very large micropost datasets. We propose methods to generate a sample of representative ...

Sep 5, 2014 · ABSTRACT. In this paper, we address the problem of finding Named En- tities in very large micropost datasets. We propose meth-.

Sep 4, 2014 · In this paper, we address the problem of finding Named Entities in very large micropost datasets. We propose methods to generate a sample of ...

Quick−and−clean extraction of linked data entities from microblogs. Oluwaseyi Feyisetan‚ Elena Simperl‚ Ramine Tinati‚ Markus Luczak−Roesch and Nigel ...

Preserving privacy in analyses of textual data. T Diethe, O Feyisetan, B Balle, T Drake. 7, 2020. Quick-and-clean extraction of linked data entities from ...

Preserving privacy in analyses of textual data. T Diethe, O Feyisetan, B Balle, T Drake. 7, 2020. Quick-and-clean extraction of linked data entities from ...

This work focuses on the knowledge extraction from the micro posts by having entity as evidence. Here the extracted entities are then linked to their relevant ...