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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists
Language Models (LMs) are important components in several Natural Language Processing systems.
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
Idioms pose problems to almost all Machine Translation systems.
Is it worth it? Budget-related evaluation metrics for model selection
Creating a linguistic resource is often done by using a machine learning model that filters the content that goes through to a human annotator, before going into the final resource.
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