Oct 22, 2024 · In this article, we propose a machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts. We ...
A machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts is proposed and its performance is ...
Automatic mapping of user tags to Wikipedia concepts - Sage Journals
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In this article, we propose a machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts. We have ...
The uncontrolled nature of user-assigned tags makes them prone to various inconsistencies caused by spelling variations, synonyms, acronyms and hyponyms.
Oct 5, 2022 · In this article, we propose a machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts. We ...
The uncontrolled nature of user-assigned tags makes them prone to various inconsistencies caused by spelling variations, synonyms, acronyms and hyponyms.
In this article, we propose a machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts.
Oct 26, 2020 · Bibliographic details on Automatic mapping of user tags to Wikipedia concepts: The case of a Q&A website - StackOverflow.
In this article, we propose a machine learning-based method capable of automatic mapping of user tags to their equivalent Wikipedia concepts. We have ...
The uncontrolled nature of user-assigned tags makes them prone to various inconsistencies caused by spelling variations, synonyms, acronyms and hyponyms.