38 citations · 117 across the 22 of their papers we have counts for
25 papers
MorfFlex: Handling Rich Morphology
Jaroslava Hlaváčová, Marie Mikulová, Barbora Štěpánková +2
We present MorfFlex, a morphological dictionary architecture suitable for languages with extensive regularity in both inflection and derivation. As the primary example of MorfFlex…
Meet UD_Czech-PDTC: A Large and Genre-Rich Treebank in Universal Dependencies
Marie Mikulová, Barbora Štěpánková, Daniel Zeman +3
Czech has been part of Universal Dependencies since its first release in 2015. It has also been one of the best represented languages, with the Prague Dependency Treebank being ord…
Prague Dependency Treebank -- Consolidated 2.0: Enriching a Complex Annotation Scheme
Marie Mikulová, Jiří Mírovský, Milan Straka +4
The Prague Dependency Treebank framework is unique in its attempt to systematically include and link different layers of language, including a meaning representation with several t…
Refining Czech GEC: Insights from a Multi-Experiment Approach
Petr Pechman, Milan Straka, Jana Straková +1
We present a grammar error correction (GEC) system that achieves state of the art for the Czech language. Our system is based on a neural network translation approach with the Tran…
Quality and Efficiency of Manual Annotation: Pre-annotation Bias
Marie Mikulová, Milan Straka, Jan Štěpánek +2
This paper presents an analysis of annotation using an automatic pre-annotation for a mid-level annotation complexity task -- dependency syntax annotation. It compares the annotati…
DaMuEL: A Large Multilingual Dataset for Entity Linking
David Kubeša, Milan Straka
We present DaMuEL, a large Multilingual Dataset for Entity Linking containing data in 53 languages. DaMuEL consists of two components: a knowledge base that contains language-agnos…
ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution
Milan Straka, Jana Straková
We describe the winning submission to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our system first solves mention detection and then coreference linking on th…
Czech Grammar Error Correction with a Large and Diverse Corpus
Jakub Náplava, Milan Straka, Jana Straková +1
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 lang…
Character Transformations for Non-Autoregressive GEC Tagging
Milan Straka, Jakub Náplava, Jana Straková
We propose a character-based nonautoregressive GEC approach, with automatically generated character transformations. Recently, per-word classification of correction edits has prove…
ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5
David Samuel, Milan Straka
We present the winning entry to the Multilingual Lexical Normalization (MultiLexNorm) shared task at W-NUT 2021 (van der Goot et al., 2021a), which evaluates lexical-normalization…
Understanding Model Robustness to User-generated Noisy Texts
Jakub Náplava, Martin Popel, Milan Straka +1
Sensitivity of deep-neural models to input noise is known to be a challenging problem. In NLP, model performance often deteriorates with naturally occurring noise, such as spelling…
Diacritics Restoration using BERT with Analysis on Czech language
Jakub Náplava, Milan Straka, Jana Straková
We propose a new architecture for diacritics restoration based on contextualized embeddings, namely BERT, and we evaluate it on 12 languages with diacritics. Furthermore, we conduc…
RobeCzech: Czech RoBERTa, a monolingual contextualized language representation model
Milan Straka, Jakub Náplava, Jana Straková +1
We present RobeCzech, a monolingual RoBERTa language representation model trained on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach. We show tha…
ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN
David Samuel, Milan Straka
We present PERIN, a novel permutation-invariant approach to sentence-to-graph semantic parsing. PERIN is a versatile, cross-framework and language independent architecture for univ…
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer
Kateřina Macková, Milan Straka
Reading comprehension is a well studied task, with huge training datasets in English. This work focuses on building reading comprehension systems for Czech, without requiring any m…
UDPipe at EvaLatin 2020: Contextualized Embeddings and Treebank Embeddings
Milan Straka, Jana Straková
We present our contribution to the EvaLatin shared task, which is the first evaluation campaign devoted to the evaluation of NLP tools for Latin. We submitted a system based on UDP…
Prague Dependency Treebank -- Consolidated 1.0
Jan Hajič, Eduard Bejček, Jaroslava Hlaváčová +4
We present a richly annotated and genre-diversified language resource, the Prague Dependency Treebank-Consolidated 1.0 (PDT-C 1.0), the purpose of which is - as it always been the…
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task
Milan Straka, Jana Straková
We present a system description of our contribution to the CoNLL 2019 shared task, Cross-Framework Meaning Representation Parsing (MRP 2019). The proposed architecture is our first…
Grammatical Error Correction in Low-Resource Scenarios
Jakub Náplava, Milan Straka
Grammatical error correction in English is a long studied problem with many existing systems and datasets. However, there has been only a limited research on error correction of ot…
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
Jakub Náplava, Milan Straka
In this paper, we describe our systems submitted to the Building Educational Applications (BEA) 2019 Shared Task (Bryant et al., 2019). We participated in all three tracks. Our mod…
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER
Milan Straka, Jana Straková, Jan Hajič
Contextualized embeddings, which capture appropriate word meaning depending on context, have recently been proposed. We evaluate two meth ods for precomputing such embeddings, BERT…
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing
Milan Straka, Jana Straková, Jan Hajič
We present an extensive evaluation of three recently proposed methods for contextualized embeddings on 89 corpora in 54 languages of the Universal Dependencies 2.3 in three tasks:…
UDPipe at SIGMORPHON 2019: Contextualized Embeddings, Regularization with Morphological Categories, Corpora Merging
Milan Straka, Jana Straková, Jan Hajič
We present our contribution to the SIGMORPHON 2019 Shared Task: Crosslinguality and Context in Morphology, Task 2: contextual morphological analysis and lemmatization. We submitted…
Neural Architectures for Nested NER through Linearization
Jana Straková, Milan Straka, Jan Hajič
We propose two neural network architectures for nested named entity recognition (NER), a setting in which named entities may overlap and also be labeled with more than one label. W…