Semantic Scholar Open Access 2018 619 sitasi

Analysis Methods in Neural Language Processing: A Survey

Yonatan Belinkov James R. Glass

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Abstrak

The field of natural language processing has seen impressive progress in recent years, with neural network models replacing many of the traditional systems. A plethora of new models have been proposed, many of which are thought to be opaque compared to their feature-rich counterparts. This has led researchers to analyze, interpret, and evaluate neural networks in novel and more fine-grained ways. In this survey paper, we review analysis methods in neural language processing, categorize them according to prominent research trends, highlight existing limitations, and point to potential directions for future work.

Topik & Kata Kunci

Computer Science

Penulis (2)

Yonatan Belinkov

James R. Glass

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Belinkov, Y., Glass, J.R. (2018). Analysis Methods in Neural Language Processing: A Survey. https://doi.org/10.1162/tacl_a_00254

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Lihat di Sumber doi.org/10.1162/tacl_a_00254

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 619×
Sumber Database: Semantic Scholar
DOI: 10.1162/tacl_a_00254
Akses: Open Access ✓