Papers by Marcin Woliński

4 papers
HerBERT Based Language Model Detects Quantifiers and Their Semantic Properties in Polish (2022.lrec-1)

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Challenge: a tool for automatic marking up of quantifiers is proposed for Polish . it is trained on a recently annotated corpus of Polish quantificational expressions .
Approach: They propose to use a BERT based neural model to mark up quantifiers in text . they analyse a manually annotated corpus of Polish quantificational expressions and compare it to a human annotation model.
Outcome: The proposed model can be used to build semantically annotated quantifier corpora for other languages.
Parsing Headed Constituencies (2024.lrec-main)

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Challenge: Using constituency and dependency trees, syntactic representations are preferred for tasks such as nominal phrase extraction and identification of terminology.
Approach: They propose a parsing technique that generates headed constituency trees which combine information typically contained in constituency and dependency trees.
Outcome: The proposed method generates headed constituency trees with discontinuities and can generate constituency tree with discontinuity.
A New Version of the Składnica Treebank of Polish Harmonised with the Walenty Valency Dictionary (L18-1)

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Challenge: wigra parser was used to generate the treebank, but the differences between the resources made it necessary to manually correct some parse trees.
Approach: They propose a procedure to update manually disambiguated trees of Skadnica due to the switch to the Walenty valency dictionary.
Outcome: The proposed method allows to check the consistency of the treebank and valence dictionary.
Manually Annotated Corpus of Polish Texts Published between 1830 and 1918 (L18-1)

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Challenge: a paper presents a manually annotated corpus of 625,000 tokens of Polish texts . the corpus provides three layers: transliteration, transcription and morphosyntactic annotation.
Approach: The paper presents a manually annotated large historical corpus of Polish . the corpus provides three layers: transliteration, transcription and morphosyntactic annotation.
Outcome: The corpus provides three layers: transliteration, transcription and morphosyntactic annotation.

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