1 code implementation • 11 Oct 2018 • Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy, Thomas Runkler
iDepNN models the shortest and augmented dependency paths via recurrent and recursive neural networks to extract relationships within (intra-) and across (inter-) sentence boundaries.
Ranked #1 on Relation Extraction on MUC6
no code implementations • NAACL 2018 • Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, Bernt Andrassy
We also introduce a metric (named as SPAN) to quantify the capability of dynamic topic model to capture word evolution in topics over time.