| 000 | 03474nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-02180-0 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163831.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783031021800 _9978-3-031-02180-0 |
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| 024 | 7 |
_a10.1007/978-3-031-02180-0 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aUYQ _2bicssc |
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_aCOM004000 _2bisacsh |
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_aUYQ _2thema |
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_a006.3 _223 |
| 100 | 1 |
_aSøgaard, Anders. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980721 |
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| 245 | 1 | 0 |
_aExplainable Natural Language Processing _h[electronic resource] / _cby Anders Søgaard. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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| 300 |
_aXV, 107 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Human Language Technologies, _x1947-4059 |
|
| 505 | 0 | _aAcknowledgments -- 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 . | |
| 520 | _aThis 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 is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aNatural language processing (Computer science). _94741 |
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| 650 | 0 |
_aComputational linguistics. _96146 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aNatural Language Processing (NLP). _931587 |
| 650 | 2 | 4 |
_aComputational Linguistics. _96146 |
| 710 | 2 |
_aSpringerLink (Online service) _980722 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031001918 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031010521 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031033087 |
| 830 | 0 |
_aSynthesis Lectures on Human Language Technologies, _x1947-4059 _980723 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02180-0 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c85022 _d85022 |
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