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20172026
most citedUnderstanding Optical Music Recognition

108 citations · 196 across the 18 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019

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…

cs.CL2019★ 38 cited

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:…

cs.CL2019

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…

cs.CL2019★ 10 cited

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…

cs.CV2019★ 108 cited

Understanding Optical Music Recognition

Jorge Calvo-Zaragoza, Jan Hajič, Alexander Pacha

For over 50 years, researchers have been trying to teach computers to read music notation, referred to as Optical Music Recognition (OMR). However, this field is still difficult to…