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From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042) ...
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One-Shot Neural Cross-Lingual Transfer for Paradigm Completion ...
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Abstract:
We present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art for the monolingual task. We use labeled data from a high-resource language to increase performance on a low-resource language. In experiments on 21 language pairs from four different language families, we obtain up to 58% higher accuracy than without transfer and show that even zero-shot and one-shot learning are possible. We further find that the degree of language relatedness strongly influences the ability to transfer morphological knowledge. ... : Accepted at ACL 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/1704.00052 https://dx.doi.org/10.48550/arxiv.1704.00052
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Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages ...
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Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time ...
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