|
ИСТИНА |
Войти в систему Регистрация |
ФНКЦ РР |
||
Embeddings for the Lexicon: Modelling and Representationстатья
- Авторы: Chiarcos Christian, Declerck Thierry, Ionov Maxim
- Сборник: Proceedings of the 6th Workshop on Semantic Deep Learning (SemDeep-6)
- Год издания: 2021
- Место издания: Association for Computational Linguistics Online
- Первая страница: 13
- Последняя страница: 19
- Аннотация: In this paper, we propose an RDF model for representing embeddings for elements in lexical knowledge graphs (e.g. words and concepts), harmonizing two major paradigms in computational semantics on the level of representation, i.e., distributional semantics (using numerical vector representations), and lexical semantics (employing lexical knowledge graphs). Our model is a part of a larger effort to extend a community standard for representing lexical resources, OntoLex-Lemon, with the means to connect it to corpus data. By allowing a conjoint modelling of embeddings and lexical knowledge graphs as its part, we hope to contribute to the further consolidation of the field, its methodologies and the accessibility of the respective resources.
- Добавил в систему: Ионов Максим Игоревич