1 code implementation • WS 2020 • Saadullah Amin, Katherine Ann Dunfield, Anna Vechkaeva, Günter Neumann
Fact triples are a common form of structured knowledge used within the biomedical domain.
no code implementations • WS 2020 • Stalin Varanasi, Saadullah Amin, Guenter Neumann
Contextualized word embeddings provide better initialization for neural networks that deal with various natural language understanding (NLU) tasks including Question Answering (QA) and more recently, Question Generation(QG).
1 code implementation • ICML 2020 • Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann
Bilinear models, while expressive, are prone to overfitting and lead to quadratic growth of parameters in number of relations.
1 code implementation • EACL 2021 • Saadullah Amin, G. Neumann
In this work, we present a Transformers based Transfer Learning framework for Named Entity Recognition (T2NER) created in PyTorch for the task of NER with deep transformer models.
1 code implementation • COLING 2022 • Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Günter Neumann
Relation extraction in the biomedical domain is challenging due to the lack of labeled data and high annotation costs, needing domain experts.
1 code implementation • BioNLP (ACL) 2022 • Saadullah Amin, Noon Pokaratsiri Goldstein, Morgan Kelly Wixted, Alejandro García-Rudolph, Catalina Martínez-Costa, Günter Neumann
Despite the advances in digital healthcare systems offering curated structured knowledge, much of the critical information still lies in large volumes of unlabeled and unstructured clinical texts.
1 code implementation • RepL4NLP (ACL) 2022 • Ioannis Dikeoulias, Saadullah Amin, Günter Neumann
Temporal knowledge graph completion (TKGC) has become a popular approach for reasoning over the event and temporal knowledge graphs, targeting the completion of knowledge with accurate but missing information.
Knowledge Graph Embedding Temporal Knowledge Graph Completion +1
no code implementations • Findings (EMNLP) 2021 • Stalin Varanasi, Saadullah Amin, Guenter Neumann
There has been a significant progress in the field of Extractive Question Answering (EQA) in the recent years.