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Found 9 papers, 6 papers with code
Some Like It Small: Czech Semantic Embedding Models for Industry Applications
Ultimately, this article presents practical applications of the developed sentence embedding models in Seznam. cz, the Czech search engine.
Czech Grammar Error Correction with a Large and Diverse Corpus
We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English.
Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
For further research and evaluation, we release DaReCzech, a unique data set of 1. 6 million Czech user query-document pairs with manually assigned relevance levels.
Ranked #1 on
Document Ranking
on DaReCzech
Character Transformations for Non-Autoregressive GEC Tagging
We propose a character-based nonautoregressive GEC approach, with automatically generated character transformations.
Understanding Model Robustness to User-generated Noisy Texts
We also compare two approaches to address the performance drop: a) training the NLP models with noised data generated by our framework; and b) reducing the input noise with external system for natural language correction.
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
We present RobeCzech, a monolingual RoBERTa language representation model trained on Czech data.
Ranked #1 on
Semantic Parsing
on PTG (czech, MRP 2020)
Diacritics Restoration using BERT with Analysis on Czech language
We propose a new architecture for diacritics restoration based on contextualized embeddings, namely BERT, and we evaluate it on 12 languages with diacritics.
Grammatical Error Correction in Low-Resource Scenarios
Grammatical error correction in English is a long studied problem with many existing systems and datasets.
Ranked #2 on
Grammatical Error Correction
on Falko-MERLIN
(using extra training data)
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
In this paper, we describe our systems submitted to the Building Educational Applications (BEA) 2019 Shared Task (Bryant et al., 2019).
