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Message #00561
Re: Bengio's A Neural Knowledge Language Model
that does look cool; I'll check it out
Kudos to Bengio for turning down the fat job offer Google must have
offered him repeatedly by now ;)
On Mon, Aug 8, 2016 at 10:04 AM, Murilo Saraiva de Queiroz
<muriloq@xxxxxxxxx> wrote:
> Using RNN and knowledge graph together. The new dataset seems very
> interesting.
>
> A Neural Knowledge Language Model
>
> Communicating knowledge is a primary purpose of language. However, current
> language models have significant limitations in their ability to encode or
> 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 symbolic knowledge provided by
> knowledge graphs with RNN language models. At each time step, the model
> predicts a fact on which the observed word is supposed to be based. Then, a
> word is either generated from the vocabulary or copied from the knowledge
> graph. We train and test the model on a new dataset, WikiFacts. In
> experiments, we show that the NKLM significantly improves the perplexity
> while generating a much smaller number of unknown words. In addition, we
> demonstrate that the sampled descriptions include named entities which were
> used to be the unknown words in RNN language models.
>
> http://arxiv.org/pdf/1608.00318v1.pdf
>
> --
> Murilo Saraiva de Queiroz, MSc
> Hardware Engineer at NVIDIA
>
>
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--
Ben Goertzel, PhD
http://goertzel.org
Super-benevolent super-intelligence is the thought the Global Brain is
currently struggling to form...
References