Sentence examples for named entities from inspiring English sources

A considerable fraction of Web searches contains named entities.

First, we analyze the characteristics of biomedical named entities.

Number of "original named entities": That's one of the most interesting metrics.

We present a simple approach for the classification of "noisy" documents using bigrams and named entities.

In this paper, we propose an unsupervised approach to extracting named entities from biomedical text.

Although a considerable effort has been made to investigate sophisticated features that encode textual characteristics of named entities (e.g. PEOPLE, LOCATION, etc)., little attention has been paid to segment representations (SRs) for multi-token named entities (e.g. the IOB2 notation).

However, named entities (proper names, locations, etc).

Given these assignments, multi-token named entities can be constructed.

A collection of tweets tagged for named entities.

Table 8 Total number of named entities in the training set Entity type Number of named entities PER 10,842 LOC 19,037 ORG 12,311.

Precision (P): the number of correctly recognized named entities divided by the total number of named entities recognized by the NER system.