Multithread in named entity recognition
Z. Rabea,M. Abu Elsoud,M. Rashed +2 more
- 01 Jul 2016
- Vol. 16, Iss: 3, pp 95-103
TL;DR: This paper introduces a multithreading named entity recognition (NER) approach in Open American National Corpus and uses the pooling technique and gets benefits of its computation time in the NER.
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Abstract: According to Gordon Earle Moore, Every two years, the number of core on a CPU chip is doubling. So we change our program to use threads for different reasons, program will run faster and make better use of the multiple CPU/core architecture that you are running on. This paper introduces a multithreading named entity recognition (NER) approach in Open American National Corpus. Named entity can be name of person, location, organization, number, date, e-mail, and so on . Using the pooling technique and get benefits of its computation time in the NER.
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TL;DR: This paper evaluates eight well-known Information Extraction tools on a task of Named Entity Recognition (NER) in microposts using six NLP tools and two Wikipedia concept extractors.
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