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Found 8 papers, 2 papers with code
Namesakes: Ambiguously Named Entities from Wikipedia and News
We present Namesakes, a dataset of ambiguously named entities obtained from English-language Wikipedia and news articles.
Training With Data Dependent Dynamic Learning Rates
This setting is widely adopted under the assumption that loss functions for each instance are similar in nature, and hence, a common learning rate can be used.
Learning Soft Labels via Meta Learning
One-hot labels do not represent soft decision boundaries among concepts, and hence, models trained on them are prone to overfitting.
Domain Adaptation of SRL Systems for Biological Processes
Domain adaptation remains one of the most challenging aspects in the wide-spread use of Semantic Role Labeling (SRL) systems.
Measuring Bias in Contextualized Word Representations
Contextual word embeddings such as BERT have achieved state of the art performance in numerous NLP tasks.
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).
