Non-Factoid Answer Selection in Indonesian Science Question Answering System using Long Short-Term Memory (LSTM)

Author:

Hanifah Alfi Fauzia,Kusumaningrum Retno

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. “Sistem Question Answering Bahasa Indonesia untuk Pertanyaan Non-Factoid”;Yusliani;Jurnal Ilmu Komputer dan Informatika,2012

2. “Employing Dependency Tree in Machine Learning Based Indonesian Factoid Question Answering”;Irfan;Jurnal Linguistik Komputasional,2019

3. Yang, Liu, Qingyao Ai, Jiafeng Guo, and W. Bruce Croft. (2016) “aNMM: Ranking short answer texts with attention-based neural matching model”. Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016).

4. Yih, Wen-tau, Ming-Wei Chang, Christopher Meek, and Andrzej Pastusiak. (2013) “Question Answering Using Enhanced Lexical Semantic Models”. Proceedings of the 51st Annual Meeting of the Association for Computational Linguist (ACL) 1744–1753.

5. Wang, Mengqui, and Christopher D. Manning. (2010) “Probabilistic Tree-Edit Models with Structured Latent Variables for Textual Entailment and Question Answering”. The Proceedings of the 23rd International Conference on Computational Linguistics (COLING) 1164–1172.

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