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Found 5 papers, 2 papers with code
Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies
Recently proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance.
Evaluation of Transfer Learning for Polish with a Text-to-Text Model
We evaluate the performance of plT5, mT5, Polish BART (plBART), and Polish GPT-2 (papuGaPT2).
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.
KLEJ: Comprehensive Benchmark for Polish Language Understanding
To ensure a common evaluation scheme and promote models that generalize to different NLU tasks, the benchmark includes datasets from varying domains and applications.
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.
