Workshop on Balto-Slavic Natural Language Processing 2019 — accepted papers
Workshop on Balto-Slavic Natural Language Processing 2019 is the 2019 edition of the Workshop on Balto-Slavic Natural Language Processing, held in Florence, Italy, August 2019 (publisher: INCOMA Ltd.). OpenAlex lists 17 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Florence, Italy · 🗓 August 2019
Most cited papers
- Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionMikhail Arkhipov, Maria Trofimova, Yuri Kuratov et al.114 citations · our summary
- What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian ↗Nikola Ljubešić, Kaja Dobrovoljc64 citations
- The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages ↗Jakub Piskorski, Laska Laskova, Michał Marcińczuk et al.43 citations
- Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing ↗Anastasia Shimorina, Elena Khasanova, Claire Gardent15 citations
- Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF ↗Anton Emelyanov, Ekaterina Artemova15 citations
- Improving Sentiment Classification in Slovak Language ↗Samuel Pecar, Marian Simko, Maria Bielikova13 citations
- Building English-to-Serbian Machine Translation System for IMDb Movie Reviews ↗Pintu Lohar, Maja Popović, Andy Way12 citations
- BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer ↗Tatiana Tsygankova, Stephen Mayhew, Dan Roth9 citations
- Sentiment Analysis for Multilingual Corpora ↗Svitlana Galeshchuk, Ju Qiu, Julien Jourdan7 citations
- Multiple Admissibility: Judging Grammaticality using Unlabeled Data in Language Learning ↗Anisia Katinskaia, Sardana Ivanova6 citations
All accepted papers (17)
- Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionMikhail Arkhipov, Maria Trofimova, Yuri Kuratov et al.114 citations · our summary
- What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian ↗Nikola Ljubešić, Kaja Dobrovoljc64 citations
- The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages ↗Jakub Piskorski, Laska Laskova, Michał Marcińczuk et al.43 citations
- Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing ↗Anastasia Shimorina, Elena Khasanova, Claire Gardent15 citations
- Multilingual Named Entity Recognition Using Pretrained Embeddings, Attention Mechanism and NCRF ↗Anton Emelyanov, Ekaterina Artemova15 citations
- Improving Sentiment Classification in Slovak Language ↗Samuel Pecar, Marian Simko, Maria Bielikova13 citations
- Building English-to-Serbian Machine Translation System for IMDb Movie Reviews ↗Pintu Lohar, Maja Popović, Andy Way12 citations
- BSNLP2019 Shared Task Submission: Multisource Neural NER Transfer ↗Tatiana Tsygankova, Stephen Mayhew, Dan Roth9 citations
- Sentiment Analysis for Multilingual Corpora ↗Svitlana Galeshchuk, Ju Qiu, Julien Jourdan7 citations
- Multiple Admissibility: Judging Grammaticality using Unlabeled Data in Language Learning ↗Anisia Katinskaia, Sardana Ivanova6 citations
- Data Set for Stance and Sentiment Analysis from User Comments on Croatian News ↗Mihaela Bošnjak, Vanja Mladen Karan5 citations
- TLR at BSNLP2019: A Multilingual Named Entity Recognition System ↗Jose G. Moreno, Elvys Linhares Pontes, Mickael Coustaty et al.5 citations
- AGRR 2019: Corpus for Gapping Resolution in Russian ↗Maria Ponomareva, Kira Droganova, Ivan Smurov et al.3 citations
- JRC TMA-CC: Slavic Named Entity Recognition and Linking. Participation in the BSNLP-2019 shared task ↗Guillaume Jacquet, Jakub Piskorski, Hristo Tanev et al.3 citations
- A Dataset for Noun Compositionality Detection for a Slavic Language ↗Dmitry Puzyrev, Artem Shelmanov, Alexander Panchenko et al.
- Numbers Normalisation in the Inflected Languages: a Case Study of Polish ↗Rafał Poświata, Michał Perełkiewicz
Papers with our summary in our library (1)
- Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionWorkshop on Balto-Slavic Natural Language ProcessingMikhail Arkhipov, Maria Trofimova, Yuri Kuratov, et al.2019 · 163 citations
Top topics
Named entity recognition (1)Multilingual & cross-lingual NLP (1)
Fields
Arts and Humanities (1)Computer Science (1)
Top authors
Top institutions
🎓Moscow Institute of Physics and TechnologyDolgoprudny ·
Russia1 work here🎓Lomonosov Moscow State UniversityMoscow ·
Russia1 work here
This page in Markdown → https://md.research.elamur.ai/free/en/venues/workshop-on-balto-slavic-natural-language-processing/2019/