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Artificial intelligence and natural language : 9th Conference, AINL 2020, Helsinki, Finland, October 7-9, 2020, Proceedings / / Andrey Filchenkov; Janne Kauttonen; Lidia Pivovarova
| Artificial intelligence and natural language : 9th Conference, AINL 2020, Helsinki, Finland, October 7-9, 2020, Proceedings / / Andrey Filchenkov; Janne Kauttonen; Lidia Pivovarova |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 203 p. 67 illus., 36 illus. in color.) |
| Disciplina | 006.35 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) |
| ISBN | 3-030-59082-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media -- Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus -- Dialog Modelling Experiments with Finnish One-to-One Chat Data -- Advances of Transformer-Based Models for News Headline Generation -- An explanation method for black-box machine learning survival models using the Chebyshev distance -- Unsupervised Neural Aspect Extraction with Related Terms -- Predicting Eurovision Song Contest Results using Sentiment Analysis -- Improving Results on Russian Sentiment Datasets -- Dataset for Automatic Summarization of Russian News -- Dataset for evaluation of mathematical reasoning abilities in Russian -- Searching Case Law Judgments by Using Other Judgments as a Query -- GenPR: Generative PageRank framework for Semi-Supervised Learning on citation graphs -- Finding New Multiword Expressions for Existing Thesaurus -- Matching LIWC with Russian Thesauri: An Exploratory Study -- Chinese-Russian Shared Task on Multi-Domain Translation. |
| Record Nr. | UNINA-9910427694303321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence and natural language : 9th Conference, AINL 2020, Helsinki, Finland, October 7-9, 2020, Proceedings / / Andrey Filchenkov; Janne Kauttonen; Lidia Pivovarova
| Artificial intelligence and natural language : 9th Conference, AINL 2020, Helsinki, Finland, October 7-9, 2020, Proceedings / / Andrey Filchenkov; Janne Kauttonen; Lidia Pivovarova |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (X, 203 p. 67 illus., 36 illus. in color.) |
| Disciplina | 006.35 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) |
| ISBN | 3-030-59082-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media -- Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus -- Dialog Modelling Experiments with Finnish One-to-One Chat Data -- Advances of Transformer-Based Models for News Headline Generation -- An explanation method for black-box machine learning survival models using the Chebyshev distance -- Unsupervised Neural Aspect Extraction with Related Terms -- Predicting Eurovision Song Contest Results using Sentiment Analysis -- Improving Results on Russian Sentiment Datasets -- Dataset for Automatic Summarization of Russian News -- Dataset for evaluation of mathematical reasoning abilities in Russian -- Searching Case Law Judgments by Using Other Judgments as a Query -- GenPR: Generative PageRank framework for Semi-Supervised Learning on citation graphs -- Finding New Multiword Expressions for Existing Thesaurus -- Matching LIWC with Russian Thesauri: An Exploratory Study -- Chinese-Russian Shared Task on Multi-Domain Translation. |
| Record Nr. | UNISA-996465346503316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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