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Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate ...
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144 |
Unsupervised Disambiguation of Syncretism in Inflected Lexicons ...
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145 |
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction ...
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146 |
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction ...
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147 |
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
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148 |
A Structured Variational Autoencoder for Contextual Morphological Inflection
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149 |
Quantifying the Trade-off Between Two Types of Morphological Complexity
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In: Proceedings of the Society for Computation in Linguistics (2018)
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151 |
Probabilistic Typology: Deep Generative Models of Vowel Inventories ...
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152 |
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ...
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153 |
Cross-lingual, Character-Level Neural Morphological Tagging ...
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154 |
Probabilistic Typology: Deep Generative Models of Vowel Inventories ...
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155 |
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles ...
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157 |
Paradigm Completion for Derivational Morphology ...
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Abstract:
The generation of complex derived word forms has been an overlooked problem in NLP; we fill this gap by applying neural sequence-to-sequence models to the task. We overview the theoretical motivation for a paradigmatic treatment of derivational morphology, and introduce the task of derivational paradigm completion as a parallel to inflectional paradigm completion. State-of-the-art neural models, adapted from the inflection task, are able to learn a range of derivation patterns, and outperform a non-neural baseline by 16.4%. However, due to semantic, historical, and lexical considerations involved in derivational morphology, future work will be needed to achieve performance parity with inflection-generating systems. ... : EMNLP 2017 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1708.09151 https://dx.doi.org/10.48550/arxiv.1708.09151
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158 |
Probabilistic Typology: Deep Generative Models of Vowel Inventories
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Eisner, Jason; Cotterell, Ryan. - : Association for Computational Linguistics, 2017. : Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2017
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159 |
Weighting Finite-State Transductions With Neural Context
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Eisner, Jason; Cotterell, Ryan; Rastogi, Pushpendre. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
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160 |
A Joint Model of Orthography and Morphological Segmentation
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Cotterell, Ryan; Vieira, Tim; Schütze, Hinrich. - : Association for Computational Linguistics, 2016. : Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
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