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Pointer Sentinel-LSTM

1 paper tagged archive 2025-07-28

Introduced by Stephen Merity et al. in Pointer Sentinel Mixture Models

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The Pointer Sentinel-LSTM mixture model is a type of recurrent neural network that combines the advantages of standard softmax classifiers with those of a pointer component for effective and efficient language modeling. Rather than relying on the RNN hidden state to decide when to use the pointer, the model allows the pointer component itself to decide when to use the softmax vocabulary through a sentinel.

PaperSourceSee Code · elanmart/psmm

Papers archive 2025-07-28

1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modeling1
Language Modelling1

Usage over time archive 2025-07-28

Papers per year tagged with Pointer Sentinel-LSTM: 2016 to 2016, peak 1 1 0 2016: 1 paper 2016
Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Recurrent Neural Networks

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