NAMED ENTITY RECOGNITION FOR THE KAZAKH LANGUAGE

Named Entity Recognition for the Estonian Language

Language Independent Named Entity Recognition

The role of Internet in personal, economic and political advancement is growing in a fast pace. By the turn of century, data on web reaches to petabytes or exabytes or may even scale up-to unimaginable quantities. Extraction of precise and structured information from such large amounts of unstructured or semi-structured data is the major concern of web known as Information Extraction. Named ent...

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

NERSIL - the Named-Entity Recognition System for Iban Language

This paper presents NERSIL, the first Iban named entity recognition using ANNIE, an information extraction tool available within GATE. We proposed a method for building rules and gazetteers for Iban language. Rules were determined based on named entities that were not recognized by ANNIE. Then, the investigation of the contexts of these non-recognized Iban named entities allowed us to write the...

Maximum Entropy Named Entity Recognition for Czech Language

Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is based on knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognize...