Can a Neural Model Guide Fieldwork? A Case Study on Morphological Inflection

Autor: Mahmudi, Aso, Herce, Borja, Amestica, Demian Inostroza, Scherbakov, Andreas, Hovy, Eduard, Vylomova, Ekaterina

Linguistic fieldwork is an important component in language documentation and preservation. However, it is a long, exhaustive, and time-consuming process. This paper presents a novel model that guides a linguist during the fieldwork and accounts for t

Externí odkaz: http://arxiv.org/abs/2409.14628

Synthesis and antimycotic activity of new derivatives of imidazo[1,2-a]pyrimidines

Autor: Dmitriy Yu. Vandyshev, Daria A. Mangusheva, Khidmet S. Shikhaliev, Kirill A. Scherbakov, Oleg N. Burov, Alexander D. Zagrebaev, Tatiana N. Khmelevskaya, Alexey S. Trenin, Fedor I. Zubkov

Publikováno v: Beilstein Journal of Organic Chemistry, Vol 20, Iss 1, Pp 2806-2817 (2024)

The heterocyclic core of imidazo[1,2-a]pyrimidine was formed in satisfactory yields as a result of the interaction of the readily available 2-aminoimidazole with N-substituted maleimides or N-arylitaconimides. The mechanism of the studied processes w

Externí odkaz: https://doaj.org/article/0590e7843d4141b4a076296ff1094e38

Laser surface cleaning of simulated radioactive contaminants in various technological environments

Autor: Maxim Cheban, Serafima Filatova, Yaroslav Kravchenko, Konstantin Scherbakov, Dmitry Mamonov, Sergey Klimentov, Maxim Savinov, Maxim Chichkov

Publikováno v: Nuclear Engineering and Technology, Vol 56, Iss 7, Pp 2775-2780 (2024)

Special methods for cleaning surfaces of stainless steel with a coating simulating radioactive contamination have been developed and studied. The removal of simulated surface contamination was performed using lasers in the micron spectral range with

Externí odkaz: https://doaj.org/article/c0f1764dd26243ad922011fff82e8954

Finetuning BERT on Partially Annotated NER Corpora

Autor: Scherbakov, Viktor, Mayorov, Vladimir

Most Named Entity Recognition (NER) models operate under the assumption that training datasets are fully labelled. While it is valid for established datasets like CoNLL 2003 and OntoNotes, sometimes it is not feasible to obtain the complete dataset a

Externí odkaz: http://arxiv.org/abs/2211.14360

UniMorph 4.0: Universal Morphology

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

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-coverage instantiated normalized morphological inflection tables for hundreds of diverse world languages. The project comprises two major thrusts: a language-indepe

Externí odkaz: http://arxiv.org/abs/2205.03608