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| "text": "The BSNLP workshops have been convening for over a decade, with a clear vision and purpose. On one hand, the languages from the Balto-Slavic group play an important role due to their widespread use and diverse cultural heritage. These languages are spoken by about one-third of all speakers of the official languages of the European Union, and by over 400 million speakers worldwide. The political and economic developments in Central and Eastern Europe place societies where Balto-Slavic languages are spoken at the center of rapid technological advancement and growing European consumer markets.", | |
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| "text": "On the other hand, research on theoretical and applied NLP in some of these languages still lag behind the \"major\" languages, such as English and other Western European languages. In comparison to English, which has dominated the digital world since the advent of the Internet, many of these languages still lack resources, processing tools and applications-especially those with smaller speaker bases.", | |
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| "text": "The Balto-Slavic languages pose a wealth of fascinating scientific challenges. The linguistic phenomena specific to the Balto-Slavic languages-complex morphology and free word order-present non-trivial problems for the construction of NLP tools, and require rich morphological and syntactic resources.", | |
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| "text": "The BSNLP workshop aims to bring together researchers in NLP for Balto-Slavic languages from academia and industry. We aim to stimulate research, foster the creation of tools and dissemination of new results. The workshop serves as a forum for the exchange of ideas and experience and for discussing shared problems. One fascinating aspect of Slavic and Baltic languages is their structural similarity, as well as an easily recognizable lexical and inflectional inventory spanning the groups, which-despite the lack of mutual intelligibility-creates a special environment in which researchers can fully appreciate the shared problems and solutions.", | |
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| "text": "In order to stimulate research and collaboration further, we have organized the third BSNLP Challenge: a shared task on multilingual named entity recognition. Due to rich inflection, free word order, derivation, and other phenomena present in the Slavic languages, work on named entities poses a challenging task. Fostering research and development on the problems of named entities -detecting mentions of names, lemmatization (normalization), classification, and cross-lingual matching -is crucial for cross-lingual information access and wider use of NLP in Slavic languages. This third edition of the shared task covered six languages: Bulgarian, Czech, Polish, Russian, Slovene, and Ukrainian. If further covered five types of named entities: persons, locations, organizations, events, and products.", | |
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| "text": "We received 11 regular paper submissions, and we selected 8 of them for presentation. The papers cover topics ranging from pre-training BERT-style transformers for Slavic languages to paraphrasing, text simplification, sentiment analysis, abusive language recognition, and inappropriate language detection.", | |
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| "text": "Ten teams registered to participate in the NE Challenge, of which eight submitted results, and six also submitted system description papers. These papers are included in this volume, and their work is discussed in the special session dedicated to the Challenge. This workshop's presentations-the regular Workshop papers and the Shared Task Challenge-cover at least ten Balto-Slavic languages: Bosnian, Bulgarian, Croatian, Czech, Montenegrin, Polish, Russian, Serbian, Slovene, Ukrainian.", | |
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| "text": "This workshop continues the proud tradition established by the earlier BSNLP workshops, which were held in conjunction with the following venues: We sincerely hope that this work will help stimulate further growth of our rich and exciting field.", | |
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| "text": "The BSNLP'2021 Organizers: Bogdan Babych, Olga Kanishcheva, Preslav Nakov, Jakub Piskorski, Lidia Pivovarova, Vasyl Starko, Josef Steinberger, Roman Yangarber, Micha\u0142 Marci\u0144czuk, Senja Pollak, Pavel P\u0159ib\u00e1\u0148, Marko Robnik-\u0160ikonja ", | |
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| "start": 34, | |
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| "text": "Babych, Olga Kanishcheva, Preslav Nakov, Jakub Piskorski, Lidia Pivovarova, Vasyl Starko, Josef Steinberger, Roman Yangarber, Micha\u0142 Marci\u0144czuk, Senja Pollak, Pavel P\u0159ib\u00e1\u0148, Marko Robnik-\u0160ikonja", | |
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| "raw_text": "HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish Robert Mroczkowski, Piotr Rybak, Alina Wr\u00f3blewska and Ireneusz Gawlik Russian Paraphrasers: Paraphrase with Transformers Alena Fenogenova Abusive Language Recognition in Russian Kamil Saitov and Leon Derczynski Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Com- pany's Reputation Nikolay Babakov, Varvara Logacheva, Olga Kozlova, Nikita Semenov and Alexan- der Panchenko BERTi\u0107 -The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian Nikola Ljube\u0161i\u0107 and Davor Lauc RuSentEval: Linguistic Source, Encoder Force! Vladislav Mikhailov, Ekaterina Taktasheva, Elina Sigdel and Ekaterina Artemova Exploratory Analysis of News Sentiment Using Subgroup Discovery Anita Valmarska, Luis Cabrera-Diego, Elvys Linhares Pontes and Senja Pollak Creating an Aligned Russian Text Simplification Dataset from Language Learner Data Anna Dmitrieva and J\u00f6rg Tiedemann Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages Marko Prelevikj and Slavko Zitnik Priberam Labs at the 3rd Shared Task on SlavNER Pedro Ferreira, Ruben Cardoso and Afonso Mendes Multilingual Slavic Named Entity Recognition Rinalds V\u012bksna and Inguna Skadina Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition Systems Luis Adri\u00e1n Cabrera-Diego, Jose G. Moreno and Antoine Doucet No Day Set (continued)", | |
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| "raw_text": "Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task Marek Suppa and Ondrej Jariabka Named Entity Recognition and Linking Augmented with Large-Scale Structured Data Pawe\u0142 Rychlikowski, Adrian Lancucki, Adam Kaczmarek, Bart\u0142omiej Najdecki, Adam Wawrzy\u0144ski and Wojciech Janowski Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classi- fication, and Linking of Named Entities across Slavic Languages Jakub Piskorski, Bogdan Babych, Zara Kancheva, Olga Kanishcheva, Maria Lebe- deva, Micha\u0142 Marci\u0144czuk, Preslav Nakov, Petya Osenova, Lidia Pivovarova, Senja Pollak, Pavel P\u0159ib\u00e1\u0148, Ivaylo Radev, Marko Robnik-Sikonja, Vasyl Starko, Josef Steinberger and Roman Yangarber x", | |
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