NLP models often degrade in performance when real world data distributio...
Training a Named Entity Recognition (NER) model often involves fixing a
...
Studies in bias and fairness in natural language processing have primari...
Opinion summarization provides an important solution for summarizing opi...
Temporal concept drift refers to the problem of data changing over time....
We investigate semi-structured document classification in a zero-shot
se...
Several methods have been proposed for classifying long textual document...
Measuring bias is key for better understanding and addressing unfairness...
In entity linking, mentions of named entities in raw text are disambigua...
In this paper, we propose a neural architecture and a set of training me...
Cross-lingual Hypernymy Detection involves determining if a word in one
...
Recognizing that even correct translations are not always semantically
e...
Visual narrative is often a combination of explicit information and judi...
We develop a novel technique to parse English sentences into Abstract Me...