16 citations · 29 across the 9 of their papers we have counts for
9 papers
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
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 accu…
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts
Saadullah Amin, Noon Pokaratsiri Goldstein, Morgan Kelly Wixted +3
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…
LowFER: Low-rank Bilinear Pooling for Link Prediction
Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield +1
Knowledge graphs are incomplete by nature, with only a limited number of observed facts from the world knowledge being represented as structured relations between entities. To part…
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction
Saadullah Amin, Katherine Ann Dunfield, Anna Vechkaeva +1
Fact triples are a common form of structured knowledge used within the biomedical domain. As the amount of unstructured scientific texts continues to grow, manual annotation of the…
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification
Tyler Renslow, Günter Neumann
We present LightRel, a lightweight and fast relation classifier. Our goal is to develop a high baseline for different relation extraction tasks. By defining only very few data-inte…
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold, Günter Neumann, Josef van Genabith
This paper investigates the robustness of NLP against perturbed word forms. While neural approaches can achieve (almost) human-like accuracy for certain tasks and conditions, they…