Search Results for author: Adam Gonczarek

Found 7 papers, 4 papers with code

Similarity-based Memory Enhanced Joint Entity and Relation Extraction

1 code implementation14 Jul 2023 Witold Kosciukiewicz, Mateusz Wojcik, Tomasz Kajdanowicz, Adam Gonczarek

Document-level joint entity and relation extraction is a challenging information extraction problem that requires a unified approach where a single neural network performs four sub-tasks: mention detection, coreference resolution, entity classification, and relation extraction.

coreference-resolution Joint Entity and Relation Extraction +2

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks

1 code implementation13 Jul 2023 Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zięba, Adam Gonczarek

This highlights the need for future work to develop more effective OOD detection approaches for the NLP problems, and our work provides a well-defined foundation for further research in this area.

Out-of-Distribution Detection text-classification +1

Towards fully automated protein structure elucidation with NMR spectroscopy

no code implementations31 Jul 2018 Piotr Klukowski, Adam Gonczarek

Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies.

Combinatorial Optimization

Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening

no code implementations23 Oct 2016 Adam Gonczarek, Jakub M. Tomczak, Szymon Zaręba, Joanna Kaczmar, Piotr Dąbrowski, Michał J. Walczak

We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecules by applying learnable atom convolution and softmax operations to each compound separately.

BIG-bench Machine Learning

Subspace Restricted Boltzmann Machine

no code implementations16 Jul 2014 Jakub M. Tomczak, Adam Gonczarek

The subspace Restricted Boltzmann Machine (subspaceRBM) is a third-order Boltzmann machine where multiplicative interactions are between one visible and two hidden units.

General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.