Handling Unanswerable Question in Machine Reading Comprehension by using Sentence Transformers - Dalam bentuk buku karya ilmiah
HADDAD ALWI YAFIE
Informasi Umum
Kode
23.05.347
Klasifikasi
006.35 - Natural Language Processing, Computer Science
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Natural Language Processing
Dilihat
11 kali
Informasi Lainnya
Abstraksi
<p>Machine Reading Comprehension (MRC) is a fundamental task within question-answering systems, aimed at generating context-aligned answers to given questions. Traditionally, MRC systems focus on providing answers to posed questions. However, contemporary research explores the realm of unanswerable questions, where responses genuinely acknowledge the absence of an answer. This research its efforts on addressing unanswerable questions using a retriever-reader approach, leveraging a sentence transformer for semantic-based document retrieval. Evaluation is performed through metrics like Exact Match and F1-score, showcasing significant performance improvements compared to previous retriever-reader methods. Additionally, the sentence transformer proves superior in document and context retrieval compared to the traditional Tf-Idf approach. The proposed method successfully answers questions that have no answers or unanswerable questions with an exact match rate of 89% and an F1-Score of 89% for the unanswerable dataset.</p>
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | HADDAD ALWI YAFIE |
| Jenis | Perorangan |
| Penyunting | Arie Ardiyanti Suryani |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S2 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
