Papers by Witold Kieraś

3 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.
UniMorph 4.0: Universal Morphology (2022.lrec-1)

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Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa, Nizar Habash, Witold Kieraś, Gábor Bella, Brian Leonard, Garrett Nicolai, Kyle Gorman, Yustinus Ghanggo Ate, Maria Ryskina, Sabrina Mielke, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritván Karahóǧa, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud’hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova
Challenge: The Universal Morphology project provides broad-coverage instantiated morphological inflection tables for hundreds of diverse languages.
Approach: They propose a language-independent feature schema for rich morphological annotation and a type-level resource of annotated data in diverse languages realizing that schema.
Outcome: The proposed schema has added 66 new languages, including 24 endangered languages.
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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