Search Results for author: Robert Mroczkowski

Found 5 papers, 1 papers with code

BERT-based similarity learning for product matching

no code implementations EcomNLP (COLING) 2020 Janusz Tracz, Piotr Iwo Wójcik, Kalina Jasinska-Kobus, Riccardo Belluzzo, Robert Mroczkowski, Ireneusz Gawlik

Product matching, i. e., being able to infer the product being sold for a merchant-created offer, is crucial for any e-commerce marketplace, enabling product-based navigation, price comparisons, product reviews, etc.

Going beyond research datasets: Novel intent discovery in the industry setting

no code implementations9 May 2023 Aleksandra Chrabrowa, Tsimur Hadeliya, Dariusz Kajtoch, Robert Mroczkowski, Piotr Rybak

We also devise the best method to utilize the conversational structure (i. e., question and answer) of real-life datasets during fine-tuning for clustering tasks, which we call Conv.

Clustering Intent Discovery

HerBERT: Efficiently Pretrained Transformer-based Language Model for Polish

no code implementations EACL (BSNLP) 2021 Robert Mroczkowski, Piotr Rybak, Alina Wróblewska, Ireneusz Gawlik

Therefore, this paper presents the first ablation study focused on Polish, which, unlike the isolating English language, is a fusional language.

Language Modelling

KLEJ: Comprehensive Benchmark for Polish Language Understanding

1 code implementation ACL 2020 Piotr Rybak, Robert Mroczkowski, Janusz Tracz, Ireneusz Gawlik

To ensure a common evaluation scheme and promote models that generalize to different NLU tasks, the benchmark includes datasets from varying domains and applications.

named-entity-recognition Named Entity Recognition +5

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