research
∙
09/16/2023
Context-aware Adversarial Attack on Named Entity Recognition
In recent years, large pre-trained language models (PLMs) have achieved ...
share
research
∙
01/08/2023
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach
Phosphorescent metal complexes have been under intense investigations as...
research
∙
10/14/2022
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
In this work, we take the named entity recognition task in the English l...
research
∙
02/19/2022
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data
To date, efforts in the code-switching literature have focused for the m...
research
∙
09/22/2021
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context
In the open question answering (OBQA) task, how to select the relevant i...
research
∙
09/04/2021
Data Augmentation for Cross-Domain Named Entity Recognition
Current work in named entity recognition (NER) shows that data augmentat...
research
∙
04/20/2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Performance of neural models for named entity recognition degrades over ...
research
∙
10/23/2020