22 citations · 46 across the 9 of their papers we have counts for
9 papers
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
Sergiy Tkachuk, Anna Wróblewska, Jacek Dąbrowski +1
Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry. It is not only to the al…
Multilingual Transformers for Product Matching -- Experiments and a New Benchmark in Polish
Michał Możdżonek, Anna Wróblewska, Sergiy Tkachuk +1
Product matching corresponds to the task of matching identical products across different data sources. It typically employs available product features which, apart from being multi…
TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark
Ania Wróblewska, Agnieszka Kaliska, Maciej Pawłowski +3
Food Computing is currently a fast-growing field of research. Natural language processing (NLP) is also increasingly essential in this field, especially for recognising food entiti…
Automatic Language Identification for Celtic Texts
Olha Dovbnia, Anna Wróblewska
Language identification is an important Natural Language Processing task. It has been thoroughly researched in the literature. However, some issues are still open. This work addres…
Polish Natural Language Inference and Factivity -- an Expert-based Dataset and Benchmarks
Daniel Ziembicki, Anna Wróblewska, Karolina Seweryn
Despite recent breakthroughs in Machine Learning for Natural Language Processing, the Natural Language Inference (NLI) problems still constitute a challenge. To this purpose we con…
Spoiler in a Textstack: How Much Can Transformers Help?
Anna Wróblewska, Paweł Rzepiński, Sylwia Sysko-Romańczuk
This paper presents our research regarding spoiler detection in reviews. In this use case, we describe the method of fine-tuning and organizing the available text-based model tasks…
Protagonists' Tagger in Literary Domain -- New Datasets and a Method for Person Entity Linkage
Weronika Łajewska, Anna Wróblewska
Semantic annotation of long texts, such as novels, remains an open challenge in Natural Language Processing (NLP). This research investigates the problem of detecting person entiti…
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
Tomasz Stanisławek, Filip Graliński, Anna Wróblewska +5
The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems. But there are still only a few well-defined problems t…
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Filip Graliński, Tomasz Stanisławek, Anna Wróblewska +5
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…