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The Sememes of the Articles in English

The Sememes of the Articles in English
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Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases

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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Sememe-Based Semantic Communications

IEEE Communications Letters
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.
Aykut Koc, Tuna ÖZATEŞ
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Spoken Language Understanding with Sememe Knowledge as Domain Knowledge

2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2021
Spoken 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.
Jianwu Dang, Sixia Li
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Sememe Tree Prediction for English-Chinese Word Pairs

Communications in Computer and Information Science, 2021
Sememe 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), 2018
Knowledge 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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Enhancing Transformer with Sememe Knowledge

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020
While large-scale pretraining has achieved great success in many NLP tasks, it has not been fully studied whether external linguistic knowledge can improve data-driven models. In this work, we introduce sememe knowledge into Transformer and propose three sememe-enhanced Transformer models.
Yuhui Zhang, Chenghao Yang 0001, Zhengping Zhou, Zhiyuan Liu 0001   +3 more
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Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space

2021
Sememe is the minimum unambiguous semantic unit in human language. Sememe knowledge bases(SKB) have been proven to be effective in many NLP tasks. Categorial sememe, indicating the basic category of word sense to bridge the lexicon and semantics, is indispensable in SKB. However, manual categorial sememe annotation is costly.
Baoju Liu, Lei Hou 0001, Xin Lv, Juanzi Li, Jinghui Xiao   +4 more
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Adaptive Nearest Neighbor Sememe Tree Generation Model

Lecture Notes in Computer Science
Peiyan Wang
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Etymology and sememe analysis in translation

Babel. Revue internationale de la traduction / International Journal of Translation, 2009
It is common to see various Chinese translations of a single English word/phrase in practice. Etymological tracing attempts to diachronically study the origin and its historical successive changes in both form and meaning of a given word/phrase, the purpose of which is acquisition of a comprehensive understanding of its core information.
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