Subecz, Zoltán (2019) Event Detection and Classification in Natural Texts. GRADUS, 6 (1). pp. 16-21. ISSN 2064-8014
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Official URL: http://gradus.kefo.hu/archive/2019-1/2019_1_CSC_00...
Abstract
The detection and analysis of events in natural language texts plays an important role in several NLP applications such as summarization and guestion answering. In this study we introduce a machine leaming-based approach that can detect and classify verbal and infinitival events in Hungarian texts. First we identify the multiword noun 4 verb and noun 4 infinitive expressions. Then the events are detected and the identified events are classified. For each problem, we applied binary classifiers based on rich feature sets. The models were expanded with rule-based methods too.
| Item Type: | Article |
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| Uncontrolled Keywords: | Artificial Intelligence, Machine Learning, Data Mining, Text Mining, Information extraction |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Depositing User: | Zoltán Subecz |
| Date Deposited: | 08 Jun 2020 14:19 |
| Last Modified: | 08 Jun 2020 14:19 |
| URI: | http://real.mtak.hu/id/eprint/109379 |
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