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Sememe-Based Semantic Communications
IEEE Communications LettersSemantic 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.
Tuna ÖZATEŞ, Aykut Koc
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Frontiers of Computer Science, 2021
A sememe is defined as the minimum semantic unit of languages in linguistics. Sememe knowledge bases are built by manually annotating sememes for words and phrases. HowNet is the most well-known sememe knowledge base. It has been extensively utilized in many natural language processing tasks in the era of statistical natural language processing and ...
Fanchao Qi, Zhiyuan Liu, Maosong Sun
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A sememe is defined as the minimum semantic unit of languages in linguistics. Sememe knowledge bases are built by manually annotating sememes for words and phrases. HowNet is the most well-known sememe knowledge base. It has been extensively utilized in many natural language processing tasks in the era of statistical natural language processing and ...
Fanchao Qi, Zhiyuan Liu, Maosong Sun
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, 2017 "A sememe is in itself an inchoative text whereas a text is an expanded sememe". (Lector in Fabula 1979: 27; The Role of the Reader, 1979: 175). First found in Lector in fabula (1979a: 27) and The Role of the Reader (1979b: 175) the quote is foreshadowed in A Theory of Semiotics (1976), in reference to the Encyclopaedic expansions of a sememe within ...
PISANTY, Valentina
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Spoken Language Understanding with Sememe Knowledge as Domain Knowledge
2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2021Spoken language understanding (SLU) is a key procedure in task-oriented dialogue systems, its performance has been improved a lot due to deep neural network with pre-trained textual features. However, data sparsity and ASR error usually influence the model performance.
Sixia Li, Jianwu Dang
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Sememe Tree Prediction for English-Chinese Word Pairs
Communications in Computer and Information Science, 2021Sememe is the minimum unambiguous semantic unit in human language. The semantics of word senses are encoded and expressed by sememe trees in sememe knowledge base. Sememe knowledge benefits many NLP tasks. But it is time-consuming to construct the sememe knowledge base manually.
Lei Hou, Li Juanzi
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Lexical Sememe Prediction with RNN and Modern Chinese Dictionary
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2018Knowledge base HowNet defines sememes as the minimum semantic units of words or phrases. Linguists have put many efforts into manually annotating sememes for words. Although automatically methods have been proposed to help solve this labor-intensive and time-consuming work of manually annotating sememes, the field is not mature enough.
Mei Bai, Pin Lv, Xu Long
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Sememe knowledge and auxiliary information enhanced approach for sarcasm detection
Information Processing and Management, 2022 Sarcasm expression is a pervasive literary technique in which people intentionally express the opposite of what is implied. Accurate detection of sarcasm in a text can facilitate the understanding of speakers’ true intentions and promote other natural ...
Zhiyuan Wen, Lin Gui, Qianlong Wang
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International Journal of Machine Learning and Cybernetics, 2023 Sarcasm is a prevailing rhetorical device that intentionally uses words that literally meaning opposite the real meaning. Due to this deliberate ambiguity, accurately detecting sarcasm can encourage the comprehension of users’ real intentions. Therefore,
Zhiyuan Wen +2 more
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Addition of Sememe versus Introduction of Lexeme
, 2003 There are two main kinds of MSN, which differ in their lexicopoietic nature: MSN introducing a new lexical item and MSN introducing a new sememe to a pre-existent lexical item. PSM, SPM and PM can belong to both lexicopoietic kinds, but this chapter will focus on PSM since it has so often been used by Israeli purists (see the statistical analysis in §7)
Ghil’ad Zuckermann
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