no code implementations • WS 2019 • Tom{\'a}{\v{s}} Musil, Jon{\'a}{\v{s}} Vidra, David Mare{\v{c}}ek
Derivation is a type of a word-formation process which creates new words from existing ones by adding, changing or deleting affixes.
no code implementations • WS 2018 • David Mare{\v{c}}ek, Rudolf Rosa
This is a work in progress about extracting the sentence tree structures from the encoder{'}s self-attention weights, when translating into another language using the Transformer neural network architecture.
no code implementations • CONLL 2018 • Rudolf Rosa, David Mare{\v{c}}ek
This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task.
no code implementations • WS 2018 • Jind{\v{r}}ich Libovick{\'y}, Jind{\v{r}}ich Helcl, David Mare{\v{c}}ek
In multi-source sequence-to-sequence tasks, the attention mechanism can be modeled in several ways.
no code implementations • WS 2017 • Bed{\v{r}}ich Pi{\v{s}}l, David Mare{\v{c}}ek
In this paper, we describe an improvement on the task of giving instructions to robots in a simulated block world using unrestricted natural language commands.
no code implementations • WS 2017 • Rudolf Rosa, Daniel Zeman, David Mare{\v{c}}ek, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}
We once had a corp, or should we say, it once had us They showed us its tags, isn{'}t it great, unified tags They asked us to parse and they told us to use everything So we looked around and we noticed there was near nothing We took other langs, bitext aligned: words one-to-one We played for two weeks, and then they said, here is the test The parser kept training till morning, just until deadline So we had to wait and hope what we get would be just fine And, when we awoke, the results were done, we saw we{'}d won So, we wrote this paper, isn{'}t it good, Norwegian wood.
no code implementations • LREC 2016 • Zhiwei Yu, David Mare{\v{c}}ek, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Daniel Zeman
Part-of-speech (POS) induction is one of the most popular tasks in research on unsupervised NLP.
no code implementations • LREC 2014 • Rudolf Rosa, Jan Ma{\v{s}}ek, David Mare{\v{c}}ek, Martin Popel, Daniel Zeman, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}
We present HamleDT 2. 0 (HArmonized Multi-LanguagE Dependency Treebank).
no code implementations • LREC 2012 • Daniel Zeman, David Mare{\v{c}}ek, Martin Popel, Loganathan Ramasamy, Jan {\v{S}}t{\v{e}}p{\'a}nek, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Jan Haji{\v{c}}
We propose HamleDT ― HArmonized Multi-LanguagE Dependency Treebank.
no code implementations • LREC 2012 • Ond{\v{r}}ej Bojar, Zden{\v{e}}k {\v{Z}}abokrtsk{\'y}, Ond{\v{r}}ej Du{\v{s}}ek, Petra Galu{\v{s}}{\v{c}}{\'a}kov{\'a}, Martin Majli{\v{s}}, David Mare{\v{c}}ek, Ji{\v{r}}{\'\i} Mar{\v{s}}{\'\i}k, Michal Nov{\'a}k, Martin Popel, Ale{\v{s}} Tamchyna
CzEng 1. 0 is automatically aligned at the level of sentences as well as words.