no code implementations • 8 Jun 2022 • Michał Pietruszka, Michał Turski, Łukasz Borchmann, Tomasz Dwojak, Gabriela Pałka, Karolina Szyndler, Dawid Jurkiewicz, Łukasz Garncarek
The output structure of database-like tables, consisting of values structured in horizontal rows and vertical columns identifiable by name, can cover a wide range of NLP tasks.
no code implementations • 7 Sep 2022 • Artur Nowakowski, Gabriela Pałka, Kamil Guttmann, Mikołaj Pokrywka
One of the models in the ensemble is a document-level model, trained on parallel and synthetic longer sequences.
no code implementations • 11 Apr 2023 • Gabriela Pałka, Artur Nowakowski
This paper describes Adam Mickiewicz University's (AMU) solution for the 4th Shared Task on SlavNER.
1 code implementation • 18 Feb 2021 • Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz, Tomasz Dwojak, Michał Pietruszka, Gabriela Pałka
We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing the TILT neural network architecture which simultaneously learns layout information, visual features, and textual semantics.
Ranked #7 on Visual Question Answering (VQA) on InfographicVQA (using extra training data)
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Łukasz Borchmann, Dawid Wiśniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Łukasz Szałkiewicz, Gabriela Pałka, Karol Kaczmarek, Agnieszka Kaliska, Filip Graliński
We propose a new shared task of semantic retrieval from legal texts, in which a so-called contract discovery is to be performed, where legal clauses are extracted from documents, given a few examples of similar clauses from other legal acts.
Ranked #1 on Semantic Retrieval on Contract Discovery