Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Homepage2Vec: Language-Agnostic Website Embedding and Classification   Currently, publicly available models for website classification do not offer
an embedding method and have limited support for languages beyond English. We
release a dataset of more than two million category-labeled websites in 92
languages collected from Curlie, the largest multilingual human-edited Web
directory. The dataset contains 14 website categories aligned across languages.
Alongside it, we introduce Homepage2Vec, a machine-learned pre-trained model
for classifying and embedding websites based on their homepage in a
language-agnostic way. Homepage2Vec, thanks to its feature set (textual
content, metadata tags, and visual attributes) and recent progress in natural
language representation, is language-independent by design and generates
embedding-based representations. We show that Homepage2Vec correctly classifies
websites with a macro-averaged F1-score of 0.90, with stable performance across
low- as well as high-resource languages. Feature analysis shows that a small
subset of efficiently computable features suffices to achieve high performance
even with limited computational resources. We make publicly available the
curated Curlie dataset aligned across languages, the pre-trained Homepage2Vec
model, and libraries

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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: funct-an
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The categories of this paper are: econ
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The categories of this paper are: stat
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The categories of this paper are: cmp-lg
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The categories of this paper are: patt-sol
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-th
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The categories of this paper are: ao-sci
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int