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Experiments with language combinatorics in text classification: lessons learned and future
implications

Data publikacji: 22.11.2017

Czasopismo Techniczne, 2017, Volume 11 Year 2017 (114), s. 183 - 197

https://doi.org/10.4467/2353737XCT.17.199.7428

Autorzy

,
Michal Ptaszynski
Department of Computer Science Kitami Institute of Technology, Japan
Wszystkie publikacje autora →
Fumito Masui
Department of Computer Science Kitami Institute of Technology, Japan
Wszystkie publikacje autora →

Tytuły

Experiments with language combinatorics in text classification: lessons learned and future
implications

Abstrakt

W niniejszym artykule przedstawiono metaanalizę badań przeprowadzonych za pomocą kombinatoryki językowej (language combinatorics, LC), nowej metody generacji modelu języka i ekstrakcji cech, opartej o kombinacyjne manipulacje na elementach zdań (np. słowa). W trakcie ostatnich lat LC została zastosowana do wielu zadań z dziedziny klasyfikacji tekstu, takich jak analiza afektu, wykrywanie cyberagresji lub ekstrakcja odniesień do przyszłych wydarzeń. W niniejszym artykule podsumowujemy dwa z najbardziej obszernych doświadczeń i omawiamy ogólne implikacje dotyczące przyszłych zastosowań kombinatoryjnego modelu języka.

Bibliografia

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[3]      Ptaszynski M., Masui F., Rzepka R., Araki K., Subjective? Emotional? Emotive?: Language Combinatorics based Automatic Detection of Emotionally Loaded Sentences, Linguistics and Literature Studies, Vol. 5, No. 1, 2017, 36-50.

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[20]  Nakajima Y., Ptaszynski M., Honma H., Masui F., Investigation of Future Reference Expressions in Trend Information, Proceedings of the 2014 AAAI Spring Symposium Series, 2014, 31-38.

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Informacje

Informacje: Czasopismo Techniczne, 2017, Volume 11 Year 2017 (114), s. 183 - 197

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Experiments with language combinatorics in text classification: lessons learned and future
implications

Angielski:

Experiments with language combinatorics in text classification: lessons learned and future
implications

Autorzy

Department of Computer Science Kitami Institute of Technology, Japan

Department of Computer Science Kitami Institute of Technology, Japan

Publikacja: 22.11.2017

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Michal Ptaszynski (Autor) - 50%
Fumito Masui (Autor) - 50%

Korekty artykułu:

-

Języki publikacji:

Angielski