3 papers
cs.CL2020
Neural Entity Linking on Technical Service Tickets
Nadja Kurz, Felix Hamann, Adrian Ulges
Entity linking, the task of mapping textual mentions to known entities, has recently been tackled using contextualized neural networks. We address the question whether these result…
cs.IR2019
Hamming Sentence Embeddings for Information Retrieval
Felix Hamann, Nadja Kurz, Adrian Ulges
In retrieval applications, binary hashes are known to offer significant improvements in terms of both memory and speed. We investigate the compression of sentence embeddings using…
cs.AI2019
An Open-World Extension to Knowledge Graph Completion Models
Haseeb Shah, Johannes Villmow, Adrian Ulges +2
We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i.e. to predict facts for entities unsee…