Zobrazeno 1 - 10
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pro vyhledávání: '"Ma, Qianwen"'
The emotion recognition in conversation (ERC) task aims to predict the emotion label of an utterance in a conversation. Since the dependencies between speakers are complex and dynamic, which consist of intra- and inter-speaker dependencies, the model
Externí odkaz:
http://arxiv.org/abs/2206.03173
The Emotion-Cause Pair Extraction (ECPE) task aims to extract emotions and causes as pairs from documents. We observe that the relative distance distribution of emotions and causes is extremely imbalanced in the typical ECPE dataset. Existing methods
Externí odkaz:
http://arxiv.org/abs/2205.02132
Publikováno v:
In Phytomedicine October 2024 133
The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates social panic and triggers a crisis of social trust. Early content-bas
Externí odkaz:
http://arxiv.org/abs/2105.04098
The dissemination of fake news significantly affects personal reputation and public trust. Recently, fake news detection has attracted tremendous attention, and previous studies mainly focused on finding clues from news content or diffusion path. How
Externí odkaz:
http://arxiv.org/abs/2012.04233
Akademický článek
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Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label music style classification and exploit style correlations for this task.
Externí odkaz:
http://arxiv.org/abs/1911.03626
Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame. Existing works mainly focus on manually designing discrete textual o
Externí odkaz:
http://arxiv.org/abs/1909.04455
The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and spreading rumors. Existing rumor detection methods focus on finding clues f
Externí odkaz:
http://arxiv.org/abs/1909.04465
Akademický článek
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