Analysis Methods in Neural Language Processing: A Survey
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 counte...
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The MIT Press
2019-11-01
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Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00254 |
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doaj-d4e965bc8a214ff1b5b7cf21dae4c0c92020-11-25T01:26:58ZengThe MIT PressTransactions of the Association for Computational Linguistics2307-387X2019-11-017497210.1162/tacl_a_00254Analysis Methods in Neural Language Processing: A SurveyBelinkov, YonatanGlass, James 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. https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00254 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Belinkov, Yonatan Glass, James |
spellingShingle |
Belinkov, Yonatan Glass, James Analysis Methods in Neural Language Processing: A Survey Transactions of the Association for Computational Linguistics |
author_facet |
Belinkov, Yonatan Glass, James |
author_sort |
Belinkov, Yonatan |
title |
Analysis Methods in Neural Language Processing: A Survey |
title_short |
Analysis Methods in Neural Language Processing: A Survey |
title_full |
Analysis Methods in Neural Language Processing: A Survey |
title_fullStr |
Analysis Methods in Neural Language Processing: A Survey |
title_full_unstemmed |
Analysis Methods in Neural Language Processing: A Survey |
title_sort |
analysis methods in neural language processing: a survey |
publisher |
The MIT Press |
series |
Transactions of the Association for Computational Linguistics |
issn |
2307-387X |
publishDate |
2019-11-01 |
description |
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. |
url |
https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00254 |
work_keys_str_mv |
AT belinkovyonatan analysismethodsinneurallanguageprocessingasurvey AT glassjames analysismethodsinneurallanguageprocessingasurvey |
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