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.
Joint Entity and Relation Extraction
Knowledge Base Population
no code implementations • 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 #1 on
Visual Question Answering
on DocVQA
(using extra training data)
no code implementations • 27 Oct 2020 • Łukasz Borchmann, Dawid Jurkiewicz, Filip Graliński, Tomasz Górecki
The paper presents a novel method of finding a fragment in a long temporal sequence similar to the set of shorter sequences.
Ranked #2 on
Semantic Retrieval
on Contract Discovery
no code implementations • SEMEVAL 2020 • Dawid Jurkiewicz, Łukasz Borchmann, Izabela Kosmala, Filip Graliński
This paper presents the winning system for the propaganda Technique Classification (TC) task and the second-placed system for the propaganda Span Identification (SI) task.
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