Papers by Zhiyun Chen

2 papers
A Large Scale Speech Sentiment Corpus (2020.lrec-1)

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Challenge: Existing corpus for sentiment analysis uses text inputs, but voice inputs are becoming more important as smart assistants and mobile voice control become more prevalent.
Approach: They propose to extend the Switchboard-1 Telephone Speech Corpus by adding sentiment labels from 3 different human annotators for every transcript segment.
Outcome: The proposed corpus contains 49500 labeled speech segments covering 140 hours of audio.
A Knowledge Graph Reasoning-Based Model for Computerized Adaptive Testing (2025.coling-main)

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Challenge: Existing studies have failed to account for the differences in concept relevance when a question involves multiple concepts .
Approach: They propose a Knowledge Graph Reasoning-Based Model for CAT that captures semantic and relational information between concepts and questions and incorporates multiple evaluation objectives.
Outcome: The proposed model outperforms existing methods on three authentic educational datasets.

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