Papers by Xinhong Chen
A Unified Sequence Labeling Model for Emotion Cause Pair Extraction (2020.coling-main)
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| Challenge: | Existing methods for emotion-cause pair extraction cannot distinguish emotion-caused pairs from each other . Existing approaches may suffer from possible cascading errors . |
| Approach: | They propose to assign emotion type labels to emotion and cause clauses so that they can be easily distinguished. |
| Outcome: | The proposed method can extract multiple emotion-cause pairs in an end-to-end fashion. |
Conditional Causal Relationships between Emotions and Causes in Texts (2020.emnlp-main)
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| Challenge: | Existing studies on the causal relationships between emotions and causes focus on extracting causally related clauses from documents, but none considers whether context clauses are indispensable for extracted clauses to be causally linked. |
| Approach: | They propose a task to determine whether an input pair of emotion and cause has a valid causal relationship under different contexts. |
| Outcome: | The proposed task identifies whether an input pair of emotion and cause has a valid causal relationship under different contexts and then fine-tunes the prediction results based on the characteristics of the input clauses. |