Sememe-Based Semantic Communications

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2024-08-26 DOI:10.1109/LCOMM.2024.3450082

Tuna Ozates;Uras Kargı;Aykut Koç

引用次数: 0

Abstract

Semantic communication, a paradigm concentrating on correctly transmitting underlying semantic information instead of bit sequences, has proved effective. Deep learning (DL) enabled methods are mainly used with basic natural language processing (NLP) techniques for the semantic communication of texts. However, most of the previous work approaches the problem by treating text as a generic continuum of sequences of textual information without leveraging underlying intrinsic and advanced linguistic properties of natural languages. A prime example of such linguistic features is the sememes, the smallest and indivisible semantic units of textual information (analogous to the Periodic Table of Matter). This letter proposes Sememe-based Semantic Communications (SememeSC), a semantic communication paradigm that utilizes sememe knowledge in natural languages. We provided experimental results verifying that the proposed SememeSC performs superior to baselines in additive white Gaussian noise (AWGN) and Rayleigh fading channels. Codes and data are available at https://github.com/koc-lab/sememesc .

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基于主题的语义通信

语义通信是一种专注于正确传输基本语义信息而不是比特序列的范式，已被证明是有效的。深度学习（DL）方法主要与基本的自然语言处理（NLP）技术一起用于文本的语义交流。然而，以前的大多数工作都是将文本作为文本信息序列的通用连续体来处理问题，而没有利用自然语言的内在高级语言特性。这种语言特性的一个典型例子就是 "词素"，即文本信息中最小且不可分割的语义单位（类似于物质周期表）。这封信提出了基于词素的语义通信（SememeSC），这是一种利用自然语言中词素知识的语义通信范式。我们提供的实验结果验证了所提出的 SememeSC 在加性白高斯噪声（AWGN）和瑞利衰减信道中的表现优于基线。代码和数据可在 https://github.com/koc-lab/sememesc 上获取。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.