arXiv Open Access 2020

UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia

Ali Akbar Septiandri Yosef Ardhito Winatmoko

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Abstrak

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.

Topik & Kata Kunci

cs.CL

Penulis (2)

Ali Akbar Septiandri

Yosef Ardhito Winatmoko

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APA MLA BibTeX

Septiandri, A.A., Winatmoko, Y.A. (2020). UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia. https://arxiv.org/abs/2002.12540

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓