8 citations · 8 across the 1 of their papers we have counts for
5 papers
Robust PDF Document Conversion Using Recurrent Neural Networks
Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak +7
The number of published PDF documents has increased exponentially in recent decades. There is a growing need to make their rich content discoverable to information retrieval tools.…
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
Matteo Manica, Christoph Auer, Valery Weber +9
Information extraction and data mining in biochemical literature is a daunting task that demands resource-intensive computation and appropriate means to scale knowledge ingestion.…
Understanding repulsively mediated superconductivity of correlated electrons via massively parallel DMRG
Adrian Kantian, Michele Dolfi, Matthias Troyer +1
The so-called minimal models of unconventional superconductivity are lattice models of interacting electrons derived from materials in which electron pairing arises from purely rep…
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale
Peter W J Staar, Michele Dolfi, Christoph Auer +1
Over the past few decades, the amount of scientific articles and technical literature has increased exponentially in size. Consequently, there is a great need for systems that can…
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]
Peter W J Staar, Michele Dolfi, Christoph Auer +1
Over the past few decades, the amount of scientific articles and technical literature has increased exponentially in size. Consequently, there is a great need for systems that can…