Named Entity Recognition - Is There a Glass Ceiling?

no code implementations • CONLL 2019 • Tomasz Stanislawek, Anna Wr{\'o}blewska, Alicja W{\'o}jcicka, Daniel Ziembicki, Przemyslaw Biecek

Recent developments in Named Entity Recognition (NER) have resulted in better and better models.

BIG-bench Machine Learning named-entity-recognition +2

GEval: Tool for Debugging NLP Datasets and Models

no code implementations • WS 2019 • Filip Grali{\'n}ski, Anna Wr{\'o}blewska, Tomasz Stanis{\l}awek, Kamil Grabowski, Tomasz G{\'o}recki

This paper presents a simple but general and effective method to debug the output of machine learning (ML) supervised models, including neural networks.

How much should you ask? On the question structure in QA systems.

no code implementations • WS 2018 • Barbara Rychalska, Dominika Basaj, Anna Wr{\'o}blewska, Przemyslaw Biecek

Datasets that boosted state-of-the-art solutions for Question Answering (QA) systems prove that it is possible to ask questions in natural language manner.

Question Answering valid