Papers by Mihai Vlad Constantinescu

1 papers
RED v2: Enhancing RED Dataset for Multi-Label Emotion Detection (2022.lrec-1)

Copied to clipboard

Challenge: RED is a machine learning-based resource developed for the automatic detection of emotions in Romanian texts.
Approach: They propose an open-source extension of RED by adding trust and surprise . they propose two variants of ground truth suitable for multi-label classification and text regression .
Outcome: The proposed model is based on two models with two transformer models, the Romanian BERT and the multilingual XLM-Roberta model, in categorical and regression settings.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations