36 citations · 132 across the 10 of their papers we have counts for
5 papers · 1 filter
Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations
Yifan Xue, Michael Ding, Xinghua Lu
Learning interpretable representations of data remains a central challenge in deep learning. When training a deep generative model, the observed data are often associated with cert…
PubMedQA: A Dataset for Biomedical Research Question Answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu +2
We introduce PubMedQA, a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research questions with yes/no/maybe (e…
Deep Contextualized Biomedical Abbreviation Expansion
Qiao Jin, Jinling Liu, Xinghua Lu
Automatic identification and expansion of ambiguous abbreviations are essential for biomedical natural language processing applications, such as information retrieval and question…
Probing Biomedical Embeddings from Language Models
Qiao Jin, Bhuwan Dhingra, William W. Cohen +1
Contextualized word embeddings derived from pre-trained language models (LMs) show significant improvements on downstream NLP tasks. Pre-training on domain-specific corpora, such a…
From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
Yifeng Tao, Chunhui Cai, William W. Cohen +1
Cancers are mainly caused by somatic genomic alterations (SGAs) that perturb cellular signaling systems and eventually activate oncogenic processes. Therefore, understanding the fu…