Papers with supervised topic model

2 papers
Event Coreference Resolution with Non-Local Information (2020.aacl-main)

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Challenge: Existing joint models for event coreference resolution are understudied and underexploited . current models only learn trigger detection and event coreference from annotated training data .
Approach: They propose to add a topic-based trigger detection module and a preprocessing module to improve event coreference.
Outcome: The proposed model yields the best results on the KBP 2017 English and Chinese datasets.
Siamese Network-Based Supervised Topic Modeling (D18-1)

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Challenge: Label-specific topics are widely used for supporting personality psychology, aspectlevel sentiment analysis, and crossdomain sentiment classification.
Approach: They propose a supervised topic model based on the Siamese network which trades off label-specific word distributions with document-specific label distributions in a uniform framework.
Outcome: The proposed model can trade off label-specific word distributions with document-specific label distributions in a uniform framework.

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