no code implementations • GWC 2018 • Rahmad Mahendra, Heninggar Septiantri, Haryo Akbarianto Wibowo, Ruli Manurung, Mirna Adriani
Ambiguity is a problem we frequently face in Natural Language Processing.
no code implementations • LREC 2020 • Fahmi Fahmi, Meganingrum Arista Jiwanggi, Mirna Adriani
Although it is growing, there is still little research about automatic speech emotion detection in Bahasa Indonesia.
no code implementations • WS 2019 • Anab Maulana Barik, Rahmad Mahendra, Mirna Adriani
Twitter is an excellent source of data for NLP researches as it offers tremendous amount of textual data.
no code implementations • 7 Jun 2017 • Andros Tjandra, Sakriani Sakti, Ruli Manurung, Mirna Adriani, Satoshi Nakamura
Our proposed RNNs, which are called a Long-Short Term Memory Recurrent Neural Tensor Network (LSTMRNTN) and Gated Recurrent Unit Recurrent Neural Tensor Network (GRURNTN), are made by combining the LSTM and GRU RNN models with the tensor product.