Dec 26, 2017 · In this paper, we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used ...
Anthology ID: L18-1008; Volume: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018); Month: May ...
This paper shows how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together to ...
This setup allows us to use an autoregressive model to generate and score distinctive ngrams, that are then mapped to full passages through an efficient data ...
In this paper, we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The ...
In this paper, we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The ...
Dec 29, 2017 · [R] New FastText paper: Advances in Pre-Training Distributed Word Representations. Research.
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Advances in Pre-Training Distributed Word Representations - BibSonomy
www.bibsonomy.org › schwemmlein
Many Natural Language Processing applications nowadays rely on pre-trained word representations estimated from large text corpora such as news collections, ...
Dec 28, 2020 · Bibliographic details on Advances in Pre-Training Distributed Word Representations.
In this paper, we show how to train high-quality word vector representations by using a combination of known tricks that are however rarely used together. The ...