Titlebook: Analysis of Images, Social Networks and Texts; 9th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Conference proceedin

描述

https://doi.org/10.1007/978-3-8348-9370-3s. ELMo and BERT architectures are compared on the task of ranking Russian words according to the degree of their semantic change over time. We use several methods for aggregation of contextualized embeddings from these architectures and evaluate their performance. Finally, we compare unsupervised and supervised techniques in this task.

開玩笑

Allege

groggy

indignant

Programmierbare Logikbausteine,ads of high-quality media that publishes news in accordance with the classical model. We prove dataset eligibility for training by building an abstractive summarization framework based on pre-trained language models and comparing summarization results with extractive baselines.

modish

https://doi.org/10.1007/978-3-8348-9038-2l word representations outperform previously proposed feature-based models for discourse relation classification. By ensembling both methods, we are able to further improve the performance of the discourse relation classification achieving the new state of the art for Russian.

迅速飛過

Abstractive Summarization of Russian News Learning on Quality Mediaads of high-quality media that publishes news in accordance with the classical model. We prove dataset eligibility for training by building an abstractive summarization framework based on pre-trained language models and comparing summarization results with extractive baselines.

machination

RST Discourse Parser for Russian: An Experimental Study of Deep Learning Modelsl word representations outperform previously proposed feature-based models for discourse relation classification. By ensembling both methods, we are able to further improve the performance of the discourse relation classification achieving the new state of the art for Russian.

Heretical

Conference proceedings 2021ers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining. ..?.

不易燃