Categories
- The Risk of Racial Bias while Tracking Influenza-Related Content on Social Media using Machine Learning
- Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization
- Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions
- Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings
- An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings
- FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
- How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm
- Cross-registry neural domain adaptation to extract mutational test results from pathology reports
- Complex contagions of information diffusion across social networking platforms
- Neural Transfer Learning for Assigning Diagnosis Codes to EMRs
- Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
- Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
- Deep Neural Networks for Multi-Label Text Classification: Application to Coding Electronic Medical Records
- Generalizing biomedical relation classification with neural adversarial domain adaptation
- EMR Coding with Semi-Parametric Multi-Head Matching Networks
- Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP)
- Extracting chemical–protein relations with ensembles of SVM and deep learning models
- Team UKNLP: Detecting ADRs, Classifying Medication In-take Messages, and Normalizing ADR Mentions on Twitter
- Ordinal Convolutional Neural Networks for Predicting RDoC Positive Valence Psychiatric Symptom Severity Scores
- Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks
- Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles
- Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles