Tytuł
Scheduling aspects in keyword extraction problem
Autorzy
[ 1 ] Poznańskie Centrum Superkomputerowo-Sieciowe, Polska Akademia Nauk | [ P ] pracownik
Dyscyplina naukowa (Ustawa 2.0)
Rok publikacji
2018
Opublikowano w
Typ artykułu
artykuł naukowy
Język publikacji
angielski
Słowa kluczowe
Streszczenie
EN The amount of big data collected during human-computer interactions requires natural language processing (NLP) applications to be executed efficiently, especially in parallel computing environments. Scalability and performance are critical in many NLP applications such as search engines or web indexers. However, there is a lack of mathematical models helping users to design and apply scheduling theory for NLP approaches. Moreover, many researchers and software architects reported various difficulties related to common NLP benchmarks. Therefore, this paper aims to introduce and demonstrate how to apply a scheduling model for a class of keyword extraction approaches. Additionally, we propose methods for the overall performance evaluation of different algorithms, which are based on processing time and correctness (quality) of answers. Finally, we present a set of experiments performed in different computing environments together with obtained results that can be used as reference benchmarks for further research in the field.
Strony (od-do)
507 - 522
Punktacja Ministerstwa / czasopismo
20
Punktacja Ministerstwa / czasopismo w ewaluacji 2017-2021
20
Ten serwis działa dzięki oprogramowaniu SINUS
opracowanemu przez Poznańskie Centrum Superkomputerowo-Sieciowe
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