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Protein-protein interaction extraction research can be widely applied to the field of life science research. However, most of the machine learning based methods focus on binary PPI relation extraction, which loses rich relationship type information that is critical to the PPIs study. The rule based open information extraction methods can extract the PPI triple (i.e. “protein1, interaction word, protein2”),...
Due to the great flexibility in wording and highly correlation between unknown words and unpredictable topics, which are exhibited in Chinese twitter (i.e. weibo) messages, it proposed a weibo-oriented method to detect unknown words and topics simultaneously. The method is efficient and precise, however, because of the adopted classical K-means algorithm, it cannot deal with weibo corpus with increasing...
Extracting emotions from online reviews is crucial to many security-related applications as well as applications in other domains. Traditional approaches to emotion extraction have mainly focused on mining the polarities of opinions or using annotated data to extract emotion types. Emotion theories, which identify the underlying cognitive structure and emotional dimensions that are key to generate...
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