\'UFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task

1 code implementation • CONLL 2019 • Milan Straka, Jana Strakov{\'a}

We present a system description of our contribution to the CoNLL 2019 shared task, CrossFramework Meaning Representation Parsing (MRP 2019).

Dependency Parsing Lemmatization +3

Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe

no code implementations • CONLL 2017 • Milan Straka, Jana Strakov{\'a}

A multilingual pipeline performing these steps can be trained using the Universal Dependencies project, which contains annotations of the described tasks for 50 languages in the latest release UD 2. 0.

Dependency Parsing Lemmatization +2

UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing

no code implementations • LREC 2016 • Milan Straka, Jan Haji{\v{c}}, Jana Strakov{\'a}

Automatic natural language processing of large texts often presents recurring challenges in multiple languages: even for most advanced tasks, the texts are first processed by basic processing steps {--} from tokenization to parsing.

Dependency Parsing Lemmatization +4

Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition

no code implementations • ACL 2014 • Jana Strakov{\'a}, Milan Straka, Jan Haji{\v{c}}

Lemmatization Morphological Analysis +6