no code implementations • LREC 2022 • Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah
We present the AsNER, a named entity annotation dataset for low resource Assamese language with a baseline Assamese NER model.
no code implementations • Findings (NAACL) 2022 • Bornali Phukon, Anasua Mitra, Ranbir Sanasam, Priyankoo Sarmah
In a taxonomy like WordNet, both merge and attach are integral parts of the expansion operations but majority of study consider them separately.
no code implementations • 14 Dec 2022 • Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah
In the first phase, several pre-trained word embeddings are employed to train several tagging models.
no code implementations • 7 Jul 2022 • Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah
We present the AsNER, a named entity annotation dataset for low resource Assamese language with a baseline Assamese NER model.
no code implementations • LREC 2020 • Parismita Gogoi, Abhishek Dey, Wendy Lalhminghlui, Priyankoo Sarmah, S R Mahadeva Prasanna
it is observed that the DNN based classifier shows comparable performance in correctly recognizing four phonological Mizo tones as of the SVM based classifier.