Del i serien Synthesis Lectures on Human Language Technologies

Explainable Natural Language Processing

Häftad, Engelska, 2021

859 kr

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This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies.

Produktinformation

Utgivningsdatum2021-09-21
Mått191 x 235 x 8 mm
Vikt248 g
FormatHäftad
SpråkEngelska
SerieSynthesis Lectures on Human Language Technologies
Antal sidor107
FörlagSpringer International Publishing AG
ISBN9783031010521
OriginaltitelExplainable Natural Language Processing

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Anders Søgaard is a father of three and a published poet, as well as a Full Professor in Computer Science the University of Copenhagen. He is currently funded by the Novo Nordisk Foundation, the Lundbeck Foundation, and the Innovation Fund Denmark; before that, he held an ERC Starting Grant and a Google Focused Research Award. He has won best paper awards at NAACL, EACL, CoNLL, etc. He previously wrote Semi-Supervised Learning and Domain Adaptation in NLP (Morgan & Claypool, 2013) and Cross-Lingual Word Embeddings (Morgan & Claypool, 2019), the latter with co-authors Ivan Vulic, Sebastian Ruder, and Manaal Faruqui.

Acknowledgments.- Introduction.- A Framework for Explainable NLP.- Local-Backward Explanations.- Global-Backward Explanations.- Local-Forward Explanations of Intermediate Representations.- Global-Forward Explanations of Intermediate Representations.- Local-Forward Explanations of Continuous Output.- Global-Forward Explanations of Continuous Output.- Local-Forward Explanations of Discrete Output.- Global-Forward Explanations of Discrete Output.- Evaluating Explanations.- Perspectives.- Resources.- Bibliography.- Author's Biography .