5 citations · 5 across the 4 of their papers we have counts for
5 papers
Data Augmentation for Biomedical Factoid Question Answering
Dimitris Pappas, Prodromos Malakasiotis, Ion Androutsopoulos
We study the effect of seven data augmentation (da) methods in factoid question answering, focusing on the biomedical domain, where obtaining training instances is particularly dif…
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
Dimitris Pappas, Ion Androutsopoulos
Question answering (QA) systems for large document collections typically use pipelines that (i) retrieve possibly relevant documents, (ii) re-rank them, (iii) rank paragraphs or ot…
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
Petros Stavropoulos, Dimitris Pappas, Ion Androutsopoulos +1
We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Care was taken to reduce noise, compared to the previous BIOREAD dataset of Pappas et al. (2018). Experiments…
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors
Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos +2
Network Embedding (NE) methods, which map network nodes to low-dimensional feature vectors, have wide applications in network analysis and bioinformatics. Many existing NE methods…
AUEB at BioASQ 6: Document and Snippet Retrieval
Georgios-Ioannis Brokos, Polyvios Liosis, Ryan McDonald +2
We present AUEB's submissions to the BioASQ 6 document and snippet retrieval tasks (parts of Task 6b, Phase A). Our models use novel extensions to deep learning architectures that…