output
20102025
most citedSpan-based Joint Entity and Relation Extraction with Transformer Pre-training

172 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019Show all

3 papers · 1 filter

cs.CL2019★ 172 cited

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Markus Eberts, Adrian Ulges

We introduce SpERT, an attention model for span-based joint entity and relation extraction. Our key contribution is a light-weight reasoning on BERT embeddings, which features enti…

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★ 79 cited

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…