Buch
Semi-Supervised Learning and Domain Adaptation in Natural Language Processing
Anders Søgaard
26,74
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Synthesis Lectures on Human Language Technologies |
Sprache | : | Englisch |
Erschienen | : | 22. 05. 2013 |
Seiten | : | 93 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 191 mm |
Gewicht | : | 214 g |
ISBN | : | 9783031010217 |
Sprache | : | Englisch |
Illustrationen | : | X, 93 p. |
Autorinformation
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.
Inhaltsverzeichnis
Introduction.- Supervised and Unsupervised Prediction.- Semi-Supervised Learning.- Learning under Bias.- Learning under Unknown Bias.- Evaluating under Bias.