Emo2Vec

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing2 results

Sentiment AnalysisonSST-5 Fine-grained classification
Accuracy· 2018-09-12
41.6
best: 62.27 (Llama-3.3-70B + CAPO)
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training arXiv:1809.04505
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2018-09-12
81.2
best: 97.5 (T5-11B)
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training arXiv:1809.04505