Explainable Natural Language Processing

Häftad, Engelska, 2021

Del i serien Synthesis Lectures on Human Language Technologies

668 kr

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Beskrivning

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

Utgivningsdatum:2021-09-21
Mått:191 x 235 x 8 mm
Vikt:248 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Human Language Technologies
Antal sidor:107
Förlag:Springer International Publishing AG
ISBN:9783031010521
Originaltitel:Explainable Natural Language Processing

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Mer om författaren

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.

Innehållsförteckning

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 .