Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa
  Indonesia   We describe our third-place solution to the UKARA 1.0 challenge on automated
essay scoring. The task consists of a binary classification problem on two
datasets | answers from two different questions. We ended up using two
different models for the two datasets. For task A, we applied a random forest
algorithm on features extracted using unigram with latent semantic analysis
(LSA). On the other hand, for task B, we only used logistic regression on
TF-IDF features. Our model results in F1 score of 0.812.

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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: math
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The categories of this paper are: cond-mat
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The categories of this paper are: econ
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The categories of this paper are: q-alg
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The categories of this paper are: adap-org
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The categories of this paper are: hep-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: quant-ph
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The categories of this paper are: stat
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The categories of this paper are: nucl-th
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The categories of this paper are: solv-int