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Anna Wr'oblewska

4 papers hereh-index 3186 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Anna Wr'oblewska — 6 papers, h 3
  • Anna Wr'oblewska — 5 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedTASTEset -- Recipe Dataset and Food Entities Recognition Benchmark

3 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 3 cited

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…

cs.CL2022★ 1 cited

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…

cs.CL2021★ 2 cited

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…

cs.CL2020

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…

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