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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rusu, D. Fortuna, B. Mladenic, D. Grobelnik, M. Sipos, R. |
| Copyright Year | 2009 |
| Abstract | In this paper, we present a document visualization technique for data analysis based on the semantic representation of text in the form of a directed graph, referred to as semantic graph. It is derived using natural language processing as follows. Firstly subject– verb – object triplets are automatically extracted from the Penn Treebank parse tree obtained for each sentence in the document. Secondly, the triplets are further enhanced by linking them to their corresponding co-referenced named entity, by resolving pronominal anaphors as well as attaching the associated WordNet synset. Starting from the document's semantic graph and the list of extracted triplets we automatically generate the document summary, for which we also derive the semantic representation. |
| Starting Page | 292 |
| Ending Page | 297 |
| File Size | 622692 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769537337 |
| ISSN | 15506037 |
| DOI | 10.1109/IV.2009.57 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data visualization Tree graphs Joining processes Data analysis Data mining Ontologies Performance analysis Natural language processing Merging Feature extraction summarization text mining document visualization semantic graph triplet |
| Content Type | Text |
| Resource Type | Article |
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