activity
20172023
most citedDetecting Noteheads in Handwritten Scores with ConvNets and Bounding Box Regression

11 citations · 27 across the 3 of their papers we have counts for

collaborators

11 papers

cs.CL202011 cited

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…

cs.CL2020

European Language Grid: An Overview

Georg Rehm, Maria Berger, Ela Elsholz +33

With 24 official EU and many additional languages, multilingualism in Europe and an inclusive Digital Single Market can only be enabled through Language Technologies (LTs). Europea…

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

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

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…