Estimating Context-Specific Subjective Content Descriptions using BERT
2022 IEEE 16th International Conference on Semantic Computing (ICSC)（2022）
摘要
An agent in pursuit of a task may work with a corpus containing text documents associated with Subjective Content Descriptions (SCDs) [1]. SCDs provide additional location-specific data for documents and add value in the context of the agent's task. On the pursuit of new documents to add to the corpus, the agent may come across documents without associated SCDs or documents where content and SCDs ...
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关键词
Subjective Context Description,Semantic annotation,Transformer,Bidirectional Encoder Representations from Transformers (BERT)
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