3260 papers • 126 benchmarks • 313 datasets
Associating Emotions and Dialogue Acts to find unique relationships between them such as Accept/Agree dialogue acts often occur with the Joy emotion, Apology with Sadness, or Thanking with Joy. First introduced in the paper EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators, LREC 2020 (https://aclanthology.org/2020.lrec-1.78/).
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A pool of various recurrent neural models trained on a dialogue act corpus are proposed to annotate the emotion corpora with dialogue act labels, and an ensemble annotator extracts the final dialogue act label.
This work proposes CPED, a large-scale Chinese personalized and emotional dialogue dataset, which consists of multi-source knowledge related to empathy and personal characteristic, to be widely adopted by the NLP community as a new open benchmark for conversational AI research.
Adding a benchmark result helps the community track progress.