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Found 3 papers, 1 papers with code
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network
In this paper we show that RNN-transducer models can be effectively adapted to new domains using only small amounts of textual data.
Decomposable Families of Itemsets
Such itemset families define a probabilistic model for the data from which the original collection of itemsets has been derived from.
A Character-Word Compositional Neural Language Model for Finnish
Inspired by recent research, we explore ways to model the highly morphological Finnish language at the level of characters while maintaining the performance of word-level models.
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