Alina Wróblewska
I am an Assistant Professor at the Institute of Computer Science PAS in the Linguistic Engineering Group. My scientific work focuses on fields related to computer science, in particular natural language processing, machine learning and computational linguistics.
About Me
- Assistant Professor, Institute of Computer Science, Polish Academy of Sciences: 2014 – present
GH Scientific Representative of the UniDive COST Action CA21167
Ph.D. in Computer Science – Institute of Computer Science PAS, 2014
M.A. in Computational Linguistics and German as a Foreign Language Philology – Heidelberg University, 2009
M.A. in Musicology – Jagiellonian University, 2006
Distinctions: ACL-IJCNLP 2021 Outstanding Reviewer
Contact details
E-mail: |
<alina AT SPAMFREE ipipan DOT waw DOT pl> |
Profiles: |
Google Scholar, ACL Anthology, Semantic Scholar, ResearchGate, Nauka Polska |
ORCID: |
Recent projects
UniDive COST Action – Universality, diversity and idiosyncrasy in language technology
Universal Discourse: a multilingual model of discourse relations
CLARIN-PL – CLARIN-ERIC – European Research Infrastructure Consortium: Common Language Resources and Technology Infrastructure (Co-Investigator)
Past projects
PLLuM – Polish Large Language Model (Co-Investigator)
CLARIN-PL-BIZ – CLARIN-ERIC – European Research Infrastructure Consortium: Common Language Resources and Technology Infrastructure
DARIAH.Lab – Digital Research Infrastructure for the Arts and Humanities
Scwad (Principal Investigator)
NEKST (Co-Investigator)
NLP resources and tools
PDB – Polish Dependency Bank
PDB-UD (PDB in Universal Dependencies format)
CDSCorpus (10K Polish sentence pairs which are human-annotated for semantic relatedness and natural language inference)
COMBO-pytorch source code (language-independent system for dependency parsing, POS tagging and other pre-processing NLP tasks)
COMBO demo (demonstration of COMBO's part-of-speech tagging, morphological analysis, lemmatisation, and dependency parsing)
Scwad demo (Polish dependency parsing, semantic relatedness, and natural language inference)
Publications
2024
2023
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2021
2020
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2019
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2018
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2017
2015
2014
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