Event recognition from information-linkage based using phrase tree traversal
In this paper we present an approach to extracting significant events from digital documents. OpenNLP syntactical parser for English is used for generating parse trees from the sentences, followed by the extraction of events from the parse trees using tree traversal algorithms. The extraction system...
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2014
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th-cmuir.6653943832-65172014-08-30T03:24:18Z Event recognition from information-linkage based using phrase tree traversal Sukhahuta R. Sukanun C. In this paper we present an approach to extracting significant events from digital documents. OpenNLP syntactical parser for English is used for generating parse trees from the sentences, followed by the extraction of events from the parse trees using tree traversal algorithms. The extraction system is developed and tested on 50 sentences from terrorism documents of The Federation of American Scientists (FAS). The results showed that with this technique we can achieve high recall and precision yielding accuracy of 89.68 recall and 78.44 precision with an overall performance of 83.66 in term of F-measure. © 2011 IEEE. 2014-08-30T03:24:18Z 2014-08-30T03:24:18Z 2011 Conference Paper 9.78146E+12 10.1109/JCSSE.2011.5930104 85529 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960397154&partnerID=40&md5=8bdbf4ac560880e0631c7b0b3e2dce30 http://cmuir.cmu.ac.th/handle/6653943832/6517 English |
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English |
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In this paper we present an approach to extracting significant events from digital documents. OpenNLP syntactical parser for English is used for generating parse trees from the sentences, followed by the extraction of events from the parse trees using tree traversal algorithms. The extraction system is developed and tested on 50 sentences from terrorism documents of The Federation of American Scientists (FAS). The results showed that with this technique we can achieve high recall and precision yielding accuracy of 89.68 recall and 78.44 precision with an overall performance of 83.66 in term of F-measure. © 2011 IEEE. |
| format |
Conference or Workshop Item |
| author |
Sukhahuta R. Sukanun C. |
| spellingShingle |
Sukhahuta R. Sukanun C. Event recognition from information-linkage based using phrase tree traversal |
| author_facet |
Sukhahuta R. Sukanun C. |
| author_sort |
Sukhahuta R. |
| title |
Event recognition from information-linkage based using phrase tree traversal |
| title_short |
Event recognition from information-linkage based using phrase tree traversal |
| title_full |
Event recognition from information-linkage based using phrase tree traversal |
| title_fullStr |
Event recognition from information-linkage based using phrase tree traversal |
| title_full_unstemmed |
Event recognition from information-linkage based using phrase tree traversal |
| title_sort |
event recognition from information-linkage based using phrase tree traversal |
| publishDate |
2014 |
| url |
http://www.scopus.com/inward/record.url?eid=2-s2.0-79960397154&partnerID=40&md5=8bdbf4ac560880e0631c7b0b3e2dce30 http://cmuir.cmu.ac.th/handle/6653943832/6517 |
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