A Neural Knowledge Language Model
arXiv: Computation and Language, Volume abs/1608.00318, 2017.
Current language models have significant limitations in their ability to encode and decode knowledge. This is mainly because they acquire knowledge based on statistical co-occurrences, even if most of the knowledge words are rarely observed named entities. In this paper, we propose a Neural Knowledge Language Model (NKLM) which combines s...More
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