A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks
The use of Long Short Term Memory (LSTM) networks continues to yield better results in natural language processing tasks. One area which recently has seen significant improvements is semantic dependency parsing, where the current state-of-the-art model uses a multilayer LSTM combined with an attenti...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Interaktiva och kognitiva system
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831 |