Search Results for author: Anna Wróblewska

Found 11 papers, 1 papers with code

Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings

no code implementations10 Aug 2022 Sergiy Tkachuk, Anna Wróblewska, Jacek Dąbrowski, Szymon Łukasik

Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry.

Graph Embedding Marketing

Does a Technique for Building Multimodal Representation Matter? -- Comparative Analysis

no code implementations9 Jun 2022 Maciej Pawłowski, Anna Wróblewska, Sylwia Sysko-Romańczuk

Experiments are conducted on three datasets: Amazon Reviews, MovieLens25M, and MovieLens1M datasets.

Multilingual Transformers for Product Matching -- Experiments and a New Benchmark in Polish

no code implementations31 May 2022 Michał Możdżonek, Anna Wróblewska, Sergiy Tkachuk, Szymon Łukasik

We tested multilingual mBERT and XLM-RoBERTa models in English on Web Data Commons - training dataset and gold standard for large-scale product matching.

Automatic Language Identification for Celtic Texts

no code implementations9 Mar 2022 Olha Dovbnia, Anna Wróblewska

This work's main goals were: (1) to collect the dataset of three Celtic languages; (2) to prepare a method to identify the languages from the Celtic family, i. e. to train a successful classification model; (3) to evaluate the influence of different feature extraction methods, and explore the applicability of the unsupervised models as a feature extraction technique; (4) to experiment with the unsupervised feature extraction on a reduced annotated set.

Language Identification

Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks

no code implementations10 Jan 2022 Daniel Ziembicki, Anna Wróblewska, Karolina Seweryn

The dataset contains entirely natural language utterances in Polish and gathers 2, 432 verb-complement pairs and 309 unique verbs.

Natural Language Inference

Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout

no code implementations4 Mar 2020 Filip Graliński, Tomasz Stanisławek, Anna Wróblewska, Dawid Lipiński, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemysław Biecek

State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a broad range of contexts, like the sentence-level context or document-level context for short documents.

named-entity-recognition Named Entity Recognition

Named Entity Recognition -- Is there a glass ceiling?

1 code implementation6 Oct 2019 Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka, Daniel Ziembicki, Przemyslaw Biecek

A new enriched semantic annotation of errors for this data set and new diagnostic data sets are attached in the supplementary materials.

named-entity-recognition NER

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