1 code implementation • EMNLP (ArgMining) 2021 • Aris Fergadis, Dimitris Pappas, Antonia Karamolegkou, Haris Papageorgiou
We also present a set of strong, BERT-based neural baselines achieving an f1-score of 70. 0 for Claim and 62. 4 for Evidence identification evaluated with 10-fold cross-validation.
1 code implementation • BioNLP (ACL) 2022 • 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 difficult.
no code implementations • ACL 2021 • Dimitris Pappas, Ion Androutsopoulos
To test our key findings on another dataset, we modified the Natural Questions dataset so that it can also be used for document and snippet retrieval.
1 code implementation • WS 2020 • Petros Stavropoulos, Dimitris Pappas, Ion Androutsopoulos, Ryan Mcdonald
Non-expert human performance is also higher on the new dataset compared to BIOREAD, and biomedical experts perform even better.
1 code implementation • WS 2019 • Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos, Ryan Mcdonald, Marianna Apidianaki
Many existing NE methods rely only on network structure, overlooking other information associated with the nodes, e. g., text describing the nodes.
1 code implementation • WS 2018 • Georgios-Ioannis Brokos, Polyvios Liosis, Ryan Mcdonald, Dimitris Pappas, Ion Androutsopoulos
We present AUEB's submissions to the BioASQ 6 document and snippet retrieval tasks (parts of Task 6b, Phase A).