1 code implementation • ACL 2019 • Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alex Bondarenko, Matthias Hagen, Chris Biemann, Alex Panchenko, er
We present TARGER, an open source neural argument mining framework for tagging arguments in free input texts and for keyword-based retrieval of arguments from an argument-tagged web-scale corpus.
1 code implementation • ACL 2019 • Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko
The computation of distance measures between nodes in graphs is inefficient and does not scale to large graphs.
no code implementations • SEMEVAL 2019 • Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko
We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities.