Cause-effect series determination from web documents
| Autor: | Chaveevan Pechsiri, Rapepun Piriyakul, Sumran Phainoun |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Relation (database)
Series (mathematics) Cause effect Event (computing) Computer science business.industry Boundary (topology) 020207 software engineering 02 engineering and technology computer.software_genre Simple (abstract algebra) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
| Zdroj: | ICTC |
| Popis: | This research aims to determine the cause-effect series with concepts of problem events, especially drug-addiction, expressed by several simple sentences from web documents. The cause-effect series benefits for the problem-solving system. The research has two problems; how to determine sentences having cause/effect event concepts, and how to determine the cause-effect relation pairs with the boundary consideration. Therefore, we apply WordCo to solve the sentences with cause/effect event concepts. We then propose using WordCo-vector pairs to determine the cause-effect relation pairs. The research results provide the high precision of the cause-effect series determination from the documents. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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