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Piotr Czapla

dblp:228/8483 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Information extraction and text analysis · 36% Language models and text generation · 32% Efficient and distributed learning · 32%
Databases, data mining, and information retrieval
1 paper
Knowledge graphs · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › document analysis › scholarly text analysis
scientific information extraction
0.412020
AxCell: Automatic Extraction of Results from Machine Learning Papers · EMNLP (1) 2020
Knowledge graphs › knowledge graph construction › knowledge extraction
scientific knowledge extraction
0.412020
AxCell: Automatic Extraction of Results from Machine Learning Papers · EMNLP (1) 2020
Natural language and speech › Language models and text generation › large language model fine-tuning
multilingual fine-tuning
0.412019
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning · EMNLP/IJCNLP (1) 2019
Machine learning › Efficient and distributed learning
parameter-efficient fine-tuning
0.412019
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning · EMNLP/IJCNLP (1) 2019

Methods — techniques the papers use, named apart from their topics

multilingual transfer · 0.4fine-tuning · 0.4
YearPublicationVenuePosition
2020 AxCell: Automatic Extraction of Results from Machine Learning Papers
abstract
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel 0001, Ross Taylor, Robert Stojnic
EMNLP (1)2
2019 MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
abstract
Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
Julian Martin Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kardas, Sylvain Gugger, Jeremy Howard
EMNLP/IJCNLP (1)3