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Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods
TLDR
We investigate the applicability of deep learning at autocoding of radiology reports using International Classification of Diseases (ICD). Expand
Using Similarity Measures to Select Pretraining Data for NER
TLDR
We propose three cost-effective measures to quantify different aspects of similarity between source pretraining and target task data. Expand
An Effective Transition-based Model for Discontinuous NER
TLDR
We propose a simple transition-based model with generic neural encoding for discontinuous NER. Expand
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
TLDR
We describe NNE---a fine-grained, nested named entity dataset over the full Wall Street Journal portion of the Penn Treebank. Expand
An Analysis of Simple Data Augmentation for Named Entity Recognition
TLDR
We survey previously used data augmentation methods for sentence-level and sentence-pair NLP tasks and adapt them to NER, a token-level task. Expand
Recognizing Complex Entity Mentions: A Review and Future Directions
TLDR
We show that there are many domains, such as the biomedical domain, in which there are nested, overlapping, discontinuous entity mentions. Expand
Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media
TLDR
We investigate the impact of the domain (i.e., the similarity between the underlying distribution of source and target data) of pretraining data on the effectiveness of pretrained models, and propose a cost-effective way to select in-domain data. Expand
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
TLDR
Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine. Expand
Medication and Adverse Event Extraction from Noisy Text
TLDR
We investigate the problem of extracting mentions of medications and adverse drug events using sequence labelling and nonsequence labelling methods using a supervised Named Entity Recognition task. Expand
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