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#knowledge-base-construction #machine-learning
The supervision phase is followed by a learning and infer- ence phase, where models such as LSTM (a type of a recurrent neural network that can capture long-term dependencies in a text) are used. Some systems have an analogous statistical inference phase, whereby a schema is derived using inference rules or a probabilistic model (such as a Markov Logic Network)
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