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Computation and Language cs.CL (3)
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Eisner, Jason (3)
Mielke, Sabrina J. (3)
Cotterell, Ryan (2)
Kirov, Christo (1)
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2018 (3)
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Hits 1 – 3 of 3
1
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model ...
Mielke, Sabrina J.
;
Eisner, Jason
. - : arXiv, 2018
Abstract:
We show how the spellings of known words can help us deal with unknown words in open-vocabulary NLP tasks. The method we propose can be used to extend any closed-vocabulary generative model, but in this paper we specifically consider the case of neural language modeling. Our Bayesian generative story combines a standard RNN language model (generating the word tokens in each sentence) with an RNN-based spelling model (generating the letters in each word type). These two RNNs respectively capture sentence structure and word structure, and are kept separate as in linguistics. By invoking the second RNN to generate spellings for novel words in context, we obtain an open-vocabulary language model. For known words, embeddings are naturally inferred by combining evidence from type spelling and token context. Comparing to baselines (including a novel strong baseline), we beat previous work and establish state-of-the-art results on multiple datasets. ... : Accepted for publication at AAAI 2019 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/1804.08205
https://dx.doi.org/10.48550/arxiv.1804.08205
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2
Are All Languages Equally Hard to Language-Model? ...
Cotterell, Ryan
;
Mielke, Sabrina J.
;
Eisner, Jason
. - : arXiv, 2018
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3
Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
Cotterell, Ryan
;
Kirov, Christo
;
Mielke, Sabrina J.
. - : arXiv, 2018
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