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1. |
Record Nr. |
UNISA990002845620203316 |
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Autore |
CANEPA, Mario |
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Titolo |
Manuale di diritto penitenziario : le norme, gli organi, le modalità dell'esecuzione delle sanzioni penali / Mario Canepa, Sergio Merlo ; presentazione di Giovanni Conso |
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ISBN |
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Edizione |
[8. ed.] |
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Descrizione fisica |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Collocazione |
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IG X 580 |
XXVI.2.B 264 (IG X 580) |
XXIV.3.P. 680 |
SANT.6 |
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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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2. |
Record Nr. |
UNINA9910555267303321 |
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Autore |
Janier Mathilde |
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Titolo |
Argument mining : linguistic foundations / / Mathilde Janier, Patrick Saint-Dizier |
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Pubbl/distr/stampa |
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London, England ; ; Hoboken, New Jersey : , : Iste : , : Wiley, , [2019] |
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©2019 |
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ISBN |
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1-119-67104-3 |
1-119-67116-7 |
1-119-50729-4 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (207 pages) |
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Disciplina |
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Soggetti |
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Information retrieval |
Natural language processing (Computer science) |
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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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Sommario/riassunto |
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This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language processing technology. While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of non-verbal argumentative discourse. Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner. |
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