Alina Wróblewska — accepted AI-conference papers

2024

NLPre: A Revised Approach towards Language-centric Benchmarking of Natural Language Preprocessing Systems

Martyna Wiącek, Piotr Rybak, Łukasz Pszenny, Alina Wróblewska

COLING 2024main

With the advancements of transformer-based architectures, we observe the rise of natural language preprocessing (NLPre) tools capable of solving preliminary NLP tasks (e.g. tokenisation, part-of-speech tagging, dependency parsing, or morphological analysis) without any external linguistic guidance.…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2021

COMBO: State-of-the-Art Morphosyntactic Analysis

Mateusz Klimaszewski, Alina Wróblewska

EMNLP 2021system demonstrations

We introduce COMBO – a fully neural NLP system for accurate part-of-speech tagging, morphological analysis, lemmatisation, and (enhanced) dependency parsing. It predicts categorical morphosyntactic features whilst also exposes their vector representations, extracted from hidden layers. COMBO is an e…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗