Jana Straková

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

2016

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.We present an extremely …

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

2017

We present an update to UDPipe 1.0 We provide models for all 50 languages of UD 2.0, and furthermore, the pipeline can be trained easily using data in CoNLL-U format.

Neural Architectures for Nested NER through Linearization

2019

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. We encode the nested labels using …