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From machine translated NLI corpus to universal sentence representations in Czech

Víta Martin

Annals of Computer Science and Information Systems

2020

Vol. 22

3--8

Natural language inference (NLI) is a sentence-pair classification task w.r.t. the entailment relation. As already shown, certain deep learning architectures for NLI task - InferSent in particular - may be exploited for obtaining (supervised) universal sentence embeddings. Although InferSent approach to sentence embeddings has been recently outperformed in different tasks by transformer-based architectures (like BERT and its derivatives), it still remains a useful tool in many NLP areas and it also serves as a strong baseline. One of the greatest advantages of this approach is its relative simplicity. Moreover, in contrast to other approaches, the training of InferSent models can be performed on a standard GPU within hours. Unfortunately, the majority of research on sentence embeddings in general is done in/for English, whereas other languages are apparently neglected. In order to fill this gab, we propose a methodology for obtaining universal sentence embeddings in another language - arising from training InferSent-based sentence encoders on machine translated NLI corpus and present a transfer learning use-case on semantic textual similarity in Czech.

Ontology based method for process oriented systems design

Mokerov V, Wójcik W., Balova T.

Przegląd Elektrotechniczny

2014

R. 90, nr 10

209-213

Article considers use of ontology to solve task of information systems design based on service oriented architecture. To support the design process, ontology corresponding to conceptual and logical levels of functional representation of Zachman’s model is developed. Evaluation of semantic similarity of functions for forming system architecture based on processes model is suggested. Use of suggested ontology in system designing allows organizing the knowledge management process at initial stages of a system lifecycle.

W artykule rozpatrzono zastosowanie ontologii w zadaniu projektowania systemów informacyjnych, opartych na architekturze zorientowanej na usługach. Dla wsparcia procesu projektowania opracowano ontologię odpowiadającą konceptualnemu i logicznemu poziomowi funkcjonalnego przedstawienia modelu Zachmana. Zaproponowano ocenę semantycznego podobieństwa funkcji do tworzenia architektury systemu na podstawie modelu procesów. Zastosowanie zaproponowanej ontologii do projektowania systemów pozwala organizować proces zarządzania wiedzą na wstępnym etapie cyklu życia systemu.