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Linguocultural Features Of The “Woman” Sememe In Uzbek And English Paremiological Units
Ruzieva Raykhon Abdukhalilovna
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Enhancing Transformer with Sememe Knowledge
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020While 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 +3 more
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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 +4 more
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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 +4 more
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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 +4 more
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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 +4 more
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Molecular Sememics (Unfinished Book Manuscript)
2018The sections of this chapter were each intended to be their own chapters in a much larger volume focussed on Caldwell’s theory of Molecular Sememics, and he begins by presenting his motivation for the theory. It has the potential for explaining many facts about language, which, when taken together, are difficult to explain consistently within the ...
T. Price Caldwell +2 more
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Semantic Similarity Calculation Based on Sememe Set
2010 International Conference on Artificial Intelligence and Computational Intelligence, 2010The calculation of semantic similarity is a key point in Chinese information processing. This paper presents a new method for calculating semantic similarity between two words. Different from previous methods, this paper focuses on the perspective of connotations, trying to highlight the essential attributes of words by which we can get the similarity ...
Xiayan He, Lei Liu, Jinqiao Wu
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Text similarity computing based on sememe Vector Space
2013 IEEE 4th International Conference on Software Engineering and Service Science, 2013Vector Space Model (VSM) is a classic text presentation model in natural language processing. However the assumption that text terms are pairwise orthogonal is not suitable. General Vector Space Model (GVSM) was proposed to improve the VSM by using term similarity to overcome the pairwise orthogonal term assumption.
null Ke Zhang +2 more
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