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Found 5 papers, 1 papers with code
NLPre: a revised approach towards language-centric benchmarking of Natural Language Preprocessing systems
Aware of the shortcomings of existing NLPre evaluation approaches, we investigate a novel method of reliable and fair evaluation and performance reporting.
COMBO: State-of-the-Art Morphosyntactic Analysis
We introduce COMBO - a fully neural NLP system for accurate part-of-speech tagging, morphological analysis, lemmatisation, and (enhanced) dependency parsing.
COMBO: a new module for EUD parsing
We introduce the COMBO-based approach for EUD parsing and its implementation, which took part in the IWPT 2021 EUD shared task.
HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish
Therefore, this paper presents the first ablation study focused on Polish, which, unlike the isolating English language, is a fusional language.
Semi-Supervised Neural System for Tagging, Parsing and Lematization
This paper describes the ICS PAS system which took part in CoNLL 2018 shared task on Multilingual Parsing from Raw Text to Universal Dependencies.
