no code implementations • LREC 2020 • Alina Wr{\'o}blewska
NKJP1M sentences are an essential part of Polish Dependency Bank, we thus replace some automatically predicted dependency trees with their manually annotated equivalents.
no code implementations • ACL 2019 • Katarzyna Krasnowska-Kiera{\'s}, Alina Wr{\'o}blewska
The purpose of the research is to answer the question whether linguistic information is retained in vector representations of sentences.
no code implementations • WS 2018 • Alina Wr{\'o}blewska
The paper presents the largest Polish Dependency Bank in Universal Dependencies format {--} PDBUD {--} with 22K trees and 352K tokens.
no code implementations • ACL 2017 • Alina Wr{\'o}blewska, Katarzyna Krasnowska-Kiera{\'s}
The designed procedure is verified on Polish, a fusional language with a relatively free word order, and contributes to building a Polish evaluation dataset.
no code implementations • LREC 2014 • Alina Wr{\'o}blewska, Adam Przepi{\'o}rkowski
The presented method of acquiring dependency trees involves a weighting factor in the processes of projecting source dependency relations to target sentences and inducing well-formed target dependency trees from sets of projected dependency relations.
no code implementations • WS 2013 • Djam{\'e} Seddah, Reut Tsarfaty, S K{\"u}bler, ra, C, Marie ito, Jinho D. Choi, Rich{\'a}rd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepi{\'o}rkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woli{\'n}ski, Alina Wr{\'o}blewska, Eric Villemonte de la Clergerie