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Cited by 477

The DOI matches its Crossref record; 169 of the 169 references it cites were found in a registry or an index.

Analysis Methods in Neural Language Processing: A Survey

Open access
Belinkov, Yonatan, Glass, James·2019·Transactions of the Association for Computational Linguistics

Abstract

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.

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Metadata

Authors
Belinkov, Y., & Glass, J.
Venue
Transactions of the Association for Computational Linguistics
Publisher
MIT Press
Published
2019-04-01
Volume
7
Pages
49-72
ISSN
2307-387X (ISSN-L)
OpenAlex
W2906152891
Cited by
477
References
169
FWCI
36.84
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Analysis Methods in Neural Language Processing: A Survey. https://app.cochat.ai/papers/10.1162/tacl_a_00254
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Belinkov, Y., & Glass, J. (2019). Analysis Methods in Neural Language Processing: A Survey. Transactions of the Association for Computational Linguistics. https://doi.org/10.1162/tacl_a_00254

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