MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations has been accepted as a long paper at #ACL2019. With D. Hazarika, N. Majumder, G. Naik, E. Cambria,.
Arxiv - https://arxiv.org/abs/1810.02508
Dataset -
https://affective-meld.github.io
✴️ @AI_Python_EN
Arxiv - https://arxiv.org/abs/1810.02508
Dataset -
https://affective-meld.github.io
✴️ @AI_Python_EN
the first wide-coverage Minimalist Grammar parser! Read all about it https://stanojevic.github.io/papers/2019_ACL_MG_Wide_Coverage.pdf
The work will be presented at #ACL2019
✴️ @AI_Python_EN
The work will be presented at #ACL2019
✴️ @AI_Python_EN
#ACL2019 paper "Self-attentional Models for Lattice Inputs" proposes a method to apply Transformers to graphs encoding ambiguity from an upstream system such as speech recognition. Nice results, and much faster on speech translation benchmarks!
https://arxiv.org/abs/1906.01617
✴️ @AI_Python_EN
https://arxiv.org/abs/1906.01617
✴️ @AI_Python_EN