In recent years, pretrained language models have revolutionized the NLP world, while achieving state of the art performance in various downstream tasks.
Current TSA evaluation in a cross-domain setup is restricted to the small set of review domains available in existing datasets.
Ranked #1 on Aspect Extraction on YASO - YELP
The growing interest in argument mining and computational argumentation brings with it a plethora of Natural Language Understanding (NLU) tasks and corresponding datasets.
Wikification of large corpora is beneficial for various NLP applications.
We introduce a weakly supervised approach for inferring the property of abstractness of words and expressions in the complete absence of labeled data.