Corpus Development for Indonesian Product Named Entity Recognition using Semi-supervised Approach
MUHAMMAD AKMAL
Informasi Umum
Kode
20.04.4210
Klasifikasi
507.2 - Natural sciences and mathematics-Research, Statistical methods
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Natural Language Processing
Dilihat
45 kali
Informasi Lainnya
Abstraksi
We employed a semi-supervised learning approach on corpus development. The corpus development process consists of two phases: initial manual labeling and automatic labeling. The initial manual labeling was performed on 2,275 sentences, while the automatic labeling was performed on 16,853 sentences. We employed Conditional Random Field (CRF) classifier on automatic labeling process, which used labeled training dataset from the initial manual labeling process output. The experimental result shows the corpus accuracy is 73.66%.
Koleksi & Sirkulasi
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Pengarang
| Nama | MUHAMMAD AKMAL |
| Jenis | Perorangan |
| Penyunting | Ade Romadhony |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
