Named Entities Recognition and Resolution

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DBPedia Spotlight

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. Read more.

Frog NE Recognition

Frog, formerly known as Tadpole, is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package. Read more.

NE Attestation Tool

The Attestation Tool is a multi purpose GUI used in the production of computational lexica and gold standard data for NE tagging. It addresses the situation of having a comprehensive dictionary consisting of headwords (lemmata) and corresponding quotations in which occurrences of the headwords were automatically matched. Read more.

NERT 2013

NERT is a tool that can mark and extract named entities (persons, locations, organizations or even titles) from a text file. It uses a supervised learning technique, which means it has to be trained with a manually tagged training file before it is applied to other text. Read more.

NLTK

The Natural Language Toolkit (NLTK) is an extensive set of tools for text processing. It also comes with a large data set. Named entity recognition in NLTK uses a statistical approach. That means that training material in the form of a manually verified corpus tagged with named entity markup is needed to produce models for the classification of named entities. The description on how to produce training material is beyond this guide. Read more.

Stanford NER

Stanford NER is a tool that can mark and extract named entities (persons, locations, organizations or even titles) from a text file. It uses a supervised learning technique, which means it has to be trained with a manually tagged training file before it is applied to other text. Read more.