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Record Nr. |
UNINA9910737294503321 |
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Autore |
Liu Zhiyuan |
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Titolo |
Representation Learning for Natural Language Processing / / edited by Zhiyuan Liu, Yankai Lin, Maosong Sun |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[2nd ed. 2023.] |
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Descrizione fisica |
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1 online resource (535 pages) |
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Classificazione |
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COM004000COM021030COM073000LAN009000 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Natural language processing (Computer science) |
Computational linguistics |
Artificial intelligence |
Data mining |
Natural Language Processing (NLP) |
Computational Linguistics |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Representation Learning and NLP -- Chapter 2. Word Representation -- Chapter 3. Compositional Semantics -- Chapter 4. Sentence Representation -- Chapter 5. Document Representation -- Chapter 6. Sememe Knowledge Representation -- Chapter 7. World Knowledge Representation -- Chapter 8. Network Representation -- Chapter 9. Cross-Modal Representation -- Chapter 10. Resources -- Chapter 11. Outlook. |
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Sommario/riassunto |
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This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation |
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techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book. |
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2. |
Record Nr. |
UNINA9910968333503321 |
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Autore |
Brönmark Christer |
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Titolo |
The biology of lakes and ponds / / Christer Brönmark, and Lars-Anders Hansson |
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Pubbl/distr/stampa |
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Oxford : , : Oxford University Press, , 2007 |
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ISBN |
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9786610869732 |
1-280-86973-9 |
0-19-154543-0 |
1-4237-5817-X |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (352 pages) : illustrations |
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Collana |
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Biology of Habitats |
Biology of habitats |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Lake ecology |
Limnology |
Pond ecology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover -- Contents -- 1 Introduction -- 2 The abiotic frame and adaptations to cope with abiotic constraints -- Introduction -- Staying afloat -- Turbulence -- Lake formation -- Temperature -- Light -- Abiotic factors affected by the catchment area -- Water colour -- Carbon -- pH -- Nutrients -- Oxygen -- Habitat permanence -- Practical experiments and observations -- 3 The organisms: the actors within the abiotic frame -- Introduction -- Viruses -- Prokaryotic organisms -- Eukaryotic organisms -- Protozoa -- Primary producers -- Metazoa-animals with differentiated cells -- Practical experiments and observations -- 4 Biotics: competition, herbivory, predation, parasitism, and symbiosis -- Introduction -- Competition -- Predation and herbivory -- Parasitism -- Symbiosis -- Practical experiments and observations -- 5 Food web interactions in freshwater ecosystems -- Introduction -- The evolution of an ecosystem approach -- Cascading trophic interactions -- Alternative stable states -- Microbial components -- Interaction strength in freshwater food chains -- Succession -- Impact of organisms on the abiotic frame -- Practical |
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experiments and observations -- 6 Biodiversity and environmental threats -- Introduction -- Biodiversity in lakes and ponds -- Paleolimnology as a tool to understand history -- Eutrophication -- Acidification -- Contamination -- Global climate change -- Solar ultraviolet radiation -- Combined effects of environmental hazards -- Exotic species -- Global differentiation -- Actions taken against environmental threats -- REFERENCES -- FURTHER READING -- GLOSSARY -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- V -- Z -- INDEX -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Z. |
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Sommario/riassunto |
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"The Biology of Lakes and Ponds", now in its second edition, is a valuable text for university tuition. Its lucid explanations and descriptions of adaptation, dominance, dispersal, and succession of organisms, as well as the effects of abiotic factors, predation, and competition, ensure its relevance and use to a broad audience of biologists and naturalists with an interest in freshwater ecology. |
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