XML tools and architecture for Named Entity recognition

XML Tools And Architecture for Named Entity Recognition

Multilingual XML-Based Named Entity Recognition for E-Retail Domains

We describe the multilingual Named Entity Recognition and Classification (NERC) subpart of an e-retail product comparison system which is currently under development as part of the EU-funded project CROSSMARC. The system must be rapidly extensible, both to new languages and new domains. To achieve this aim we use XML as our common exchange format and the monolingual NERC components use a combin...

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...

Comparison of named entity recognition tools for raw OCR text

This short paper analyses an experiment comparing the efficacy of several Named Entity Recognition (NER) tools at extracting entities directly from the output of an optical character recognition (OCR) workflow. The authors present how they first created a set of test data, consisting of raw and corrected OCR output manually annotated with people, locations, and organizations. They then ran each...

Leveraging Existing Tools for Named Entity Recognition in Microposts

With the increasing popularity of microblogging services, new research challenges arise in the area of text processing. In this paper, we hypothesize that already existing services for Named Entity Recognition (NER), or a combination thereof, perform well on microposts, despite the fact that these NER services have been developed for processing long-form text documents that are well-structured ...