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Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing
AbstractIn this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, a factorization-...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
The MIT Press
2021-03-01
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| Edice: | Computational Linguistics |
| On-line přístup: | https://direct.mit.edu/coli/article/47/1/43/97332/Comparing-Knowledge-Intensive-and-Data-Intensive |
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