SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

1 code implementation • WS 2020 • Ekaterina Vylomova, Jennifer White, Elizabeth Salesky, Sabrina J. Mielke, Shijie Wu, Edoardo Ponti, Rowan Hall Maudslay, Ran Zmigrod, Josef Valvoda, Svetlana Toldova, Francis Tyers, Elena Klyachko, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden

Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages.

Hallucination Morphological Inflection

Rhetorical relations markers in Russian RST Treebank

no code implementations • WS 2017 • Svetlana Toldova, Dina Pisarevskaya, Margarita Ananyeva, Maria Kobozeva, Alex Nasedkin, er, Sofia Nikiforova, Irina Pavlova, Alexey Shelepov

Coreference Resolution Question Answering +1

Error analysis for anaphora resolution in Russian: new challenging issues for anaphora resolution task in a morphologically rich language

no code implementations • WS 2016 • Svetlana Toldova, Ilya Azerkovich, Alina Ladygina, Anna Roitberg, Maria Vasilyeva

Coreference Resolution

Learning Computational Linguistics through NLP Evaluation Events: the experience of Russian evaluation initiative

no code implementations • WS 2013 • Anastasia Bonch-Osmolovskaya, Svetlana Toldova, Olga Lyashevskaya

RU-EVAL-2012: Evaluating Dependency Parsers for Russian

no code implementations • COLING 2012 • Anastasia Gareyshina, Maxim Ionov, Olga Lyashevskaya, Dmitry Privoznov, Elena Sokolova, Svetlana Toldova

Towards the Data-driven System for Rhetorical Parsing of Russian Texts

no code implementations • WS 2019 • Artem Shelmanov, Dina Pisarevskaya, Elena Chistova, Svetlana Toldova, Maria Kobozeva, Ivan Smirnov

Results of the first experimental evaluation of machine learning models trained on Ru-RSTreebank {--} first Russian corpus annotated within RST framework {--} are presented.

BIG-bench Machine Learning Classification +3