Search Results for author: Chul Sung

Found 2 papers, 0 papers with code

CNNBiF: CNN-based Bigram Features for Named Entity Recognition

no code implementations Findings (EMNLP) 2021 Chul Sung, Vaibhava Goel, Etienne Marcheret, Steven Rennie, David Nahamoo

More importantly our fine-tuned CoNLL2003 model displays significant gains in generalization to out of domain datasets: on the OntoNotes subset we achieve an F1 of 72. 67 which is 0. 49 points absolute better than the baseline, and on the WNUT16 set an F1 of 68. 22 which is a gain of 0. 48 points.

named-entity-recognition Named Entity Recognition +1

Pre-Training BERT on Domain Resources for Short Answer Grading

no code implementations IJCNLP 2019 Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora

Pre-trained BERT contextualized representations have achieved state-of-the-art results on multiple downstream NLP tasks by fine-tuning with task-specific data.

Language Modelling

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