Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Unsupervised Inflection Generation Using Neural Language Modeling   The use of Deep Neural Network architectures for Language Modeling has
recently seen a tremendous increase in interest in the field of NLP with the
advent of transfer learning and the shift in focus from rule-based and
predictive models (supervised learning) to generative or unsupervised models to
solve the long-standing problems in NLP like Information Extraction or Question
Answering. While this shift has worked greatly for languages lacking in
inflectional morphology, such as English, challenges still arise when trying to
build similar systems for morphologically-rich languages, since their
individual words shift forms in context more often. In this paper we
investigate the extent to which these new unsupervised or generative techniques
can serve to alleviate the type-token ratio disparity in morphologically rich
languages. We apply an off-the-shelf neural language modeling library to the
newly introduced task of unsupervised inflection generation in the nominal
domain of three morphologically rich languages: Romanian, German, and Finnish.
We show that this neural language model architecture can successfully generate
the full inflection table of nouns without needing any pre-training on large,
wikipedia-sized corpora, as long as the model is shown enough inflection
examples. In fact, our experiments show that pre-training hinders the
generation performance.

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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: patt-sol
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The categories of this paper are: gr-qc
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The categories of this paper are: q-bio
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph
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The categories of this paper are: econ
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The categories of this paper are: physics
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The categories of this paper are: chem-ph
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The categories of this paper are: supr-con
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: atom-ph