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Named entity recognition using framenet

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Bibliographic Details
Main Author: Roshidi, Yaakub
Other Authors: Dr. Nik Adilah Hanin Zahri
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
FrameNet
Classification of words
Jaccard similarity
Unknown words
Language
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42029
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spelling my.unimap-420292016-06-12T10:44:46Z Named entity recognition using framenet Roshidi, Yaakub Dr. Nik Adilah Hanin Zahri FrameNet Classification of words Jaccard similarity Unknown words Language Access is limited to UniMAP community. This project presents the classification of unknown words in English using Jaccard similarity based on the distributional of similar words. Information from FrameNet, a lexical database is utilized to determine the class of unknown words. The importance of unknown words classification is to recognize the meaning of unknown words in Natural Processing Language (NPL) systems. First, a program is designed to extract the words from a sequences of sentences which taken from news articles. Next, a program is designed a measure of Jaccard similarity with C programming language to compare words similarity between the words around unknown word which extracted from Document Understanding Conference (DUC) data and the words around the example sentences from FrameNet lexical database using Jaccard coefficient. The similarity measures the occurrence of words around the unknown word with all example sentences from FrameNet. Finally, the performance of this proposed similarity measurement method is evaluated by measuring the precision, recall, and f-measure of the unknown word identification. Furthermore, the test results presented the advantage and disadvantages of the proposed similarity measurement method that applied to classify the English unknown word based on the distributional of similar words. 2016-06-12T10:44:46Z 2016-06-12T10:44:46Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42029 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic FrameNet
Classification of words
Jaccard similarity
Unknown words
Language
spellingShingle FrameNet
Classification of words
Jaccard similarity
Unknown words
Language
Roshidi, Yaakub
Named entity recognition using framenet
description Access is limited to UniMAP community.
author2 Dr. Nik Adilah Hanin Zahri
author_facet Dr. Nik Adilah Hanin Zahri
Roshidi, Yaakub
format Learning Object
author Roshidi, Yaakub
author_sort Roshidi, Yaakub
title Named entity recognition using framenet
title_short Named entity recognition using framenet
title_full Named entity recognition using framenet
title_fullStr Named entity recognition using framenet
title_full_unstemmed Named entity recognition using framenet
title_sort named entity recognition using framenet
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42029
_version_ 1643799888337567744
score 13.222552

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