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1
Charippus heishiding Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus bukittimah Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus kubah Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus minotaurus Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus minotaurus Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus kubah Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus bukittimah Yu, Maddison & Zhang 2022, sp. nov. ...
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Charippus heishiding Yu, Maddison & Zhang 2022, sp. nov. ...
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9
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding ...
NAACL 2021 2021; Li, Yu-Kun; Xiao, Dongling. - : Underline Science Inc., 2021
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ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding ...
Xiao, Dongling; Li, Yu-Kun; Zhang, Han. - : arXiv, 2020
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11
Some Interval Neutrosophic Linguistic Maclaurin Symmetric Mean Operators And Their Application In Multiple Attribute Decision Making ...
Yushui Geng; Xingang Wang; Xuemei Li. - : Zenodo, 2018
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12
Some Interval Neutrosophic Linguistic Maclaurin Symmetric Mean Operators And Their Application In Multiple Attribute Decision Making ...
Yushui Geng; Xingang Wang; Xuemei Li. - : Zenodo, 2018
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13
Semantic retrieval of trademarks based on conceptual similarity
Abstract: Trademarks are signs of high reputational value. Thus, they require protection. This paper studies conceptual similarities between trademarks, which occurs when two or more trademarks evoke identical or analogous semantic content. This paper advances the state-of-the-art by proposing a computational approach based on semantics that can be used to compare trademarks for conceptual similarity. A trademark retrieval algorithm is developed that employs natural language processing techniques and an external knowledge source in the form of a lexical ontology. The search and indexing technique developed uses similarity distance, which is derived using Tversky's theory of similarity. The proposed retrieval algorithm is validated using two resources: a trademark database of 1400 disputed cases and a database of 378,943 company names. The accuracy of the algorithm is estimated using measures from two different domains: the R-precision score, which is commonly used in information retrieval and human judgment/collective human opinion, which is used in human-machine systems.
Keyword: TK Electrical engineering. Electronics Nuclear engineering
URL: http://orca.cf.ac.uk/73641/
https://doi.org/10.1109/TSMC.2015.2421878
http://orca.cf.ac.uk/73641/1/SETCHI%20-%20Semantic%20retrieval%20of%20Trademarks.pdf
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14
Semantic retrieval of trademarks based on conceptual similarity
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15
Influence of linguistic context and working memory on auditory comprehension in young and older adults with aphasia
Yu, Kun. - : East Carolina University, 2010
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16
INFLUENCE OF LINGUISTIC CONTEXT AND WORKING MEMORY ON AUDITORY COMPREHENSION IN YOUNG AND OLDER ADULTS WITH APHASIA
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