Space-separated query words: ?One main thing: this is not a full-text word search. It is based on the principle of distributional semantics: having a query vector compiled from the query words, we use cosine distance to find the nearest texts in a bilingual vector space — this is how we search for papers that are close seamantically, regardless of the language and the presence of specific words. If you want to find papers that contain specific words in the title, use the metadata search below.

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Papers with the affiliation: Haaga-Helia University of Applied Sciences, Finland

Paper title Paper author Affiliation Conference Year Tasks
Dialog Modelling Experiments With Finnish One-To-One Chat Data url annotation Aunimo L.
Kauttonen J.
Haaga-Helia University of Applied Sciences, Finland
AINL 2020
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.