Reinforced Zero-Shot Cross-Lingual Neural Headline Generation

Ayana,; Chen, Yun; Yang, Cheng; Liu, Zhiyuan; Sun, Maosong

doi:10.1109/taslp.2020.3009487

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…A great number of scientific works are devoted to the problem of developing communication in modern circumstances. In particular, Nandanwar and Choudhary (2021) study a web page categorization method that categorizes web pages based on semantic features and contextual knowledge; Li et al (2022) study the problem of function point analysis as a means of automated data function extraction from textual requirements by leveraging a language model; Pandey, Roy (2023) analyzed the survey about natural language generation using sequential models; and Iglesias, Sicilia, García-Barriocanal (2023) propose deep learning methods usage for spam software tools in pictures taking into account the specific situation when the pictures and the damaged content are sent using spatial and frequency domains; Chen, Yang, Liu, Sun (2020) focus on the issue of machine translation, namely, reinforced zero-shot cross-lingual neural headline generation.…”

Section: Literature Reviewmentioning

confidence: 99%

Language technologies impact on modern communication: analysis of new formats, challenges, and education

Nesterenko,

Kozii,

Varych

et al. 2024

Multidiscip. Sci. J.

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Updating modern communication requires the improvement of innovative language technologies to facilitate communication in remote conditions. The process of modern communication requires integration into the world and European space currently. Modern society faces more and more new communication challenges that need to be solved. Therefore, our research aimed to identify innovative language technologies that are often used by modern society and to determine their advantages and disadvantages. Moreover, the article deals with studying the peculiarities of modern communication. To achieve the purposes of the research, such methods were used: theoretical: analysis of scientific literature; empirical: questionnaires, interviews; graphics. The results of the study made it possible to define the most popular language technologies in Ukraine, and their pros and cons. Searching the problem provided the opportunities to determine the main formats and challenges that influence modern communication and the ways to improve innovative language technologies facilities for comfortable communication.

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