Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical
  Semantic Change   This paper describes SChME (Semantic Change Detection with Model Ensemble), a
method usedin SemEval-2020 Task 1 on unsupervised detection of lexical semantic
change. SChME usesa model ensemble combining signals of distributional models
(word embeddings) and wordfrequency models where each model casts a vote
indicating the probability that a word sufferedsemantic change according to
that feature. More specifically, we combine cosine distance of wordvectors
combined with a neighborhood-based metric we named Mapped Neighborhood
Distance(MAP), and a word frequency differential metric as input signals to our
model. Additionally,we explore alignment-based methods to investigate the
importance of the landmarks used in thisprocess. Our results show evidence that
the number of landmarks used for alignment has a directimpact on the predictive
performance of the model. Moreover, we show that languages that sufferless
semantic change tend to benefit from using a large number of landmarks, whereas
languageswith more semantic change benefit from a more careful choice of
landmark number for alignment.

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The categories of this paper are: q-bio
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The categories of this paper are: supr-con
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The categories of this paper are: eess
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The categories of this paper are: econ
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The categories of this paper are: math
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The categories of this paper are: alg-geom
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The categories of this paper are: stat
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The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-alg
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The categories of this paper are: comp-gas
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The categories of this paper are: q-fin
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The categories of this paper are: nlin