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Filip Gralinski
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2020 – today
- 2024
- [c29]Daniel Dzienisiewicz, Filip Gralinski, Piotr Jablonski, Marek Kubis, Pawel Skórzewski, Piotr Wierzchon:
POLygraph: Polish Fake News Dataset. WASSA 2024: 250-263 - [i14]Kacper Dudzic, Filip Gralinski, Krzysztof Jassem, Marek Kubis, Piotr Wierzchon:
Two Approaches to Diachronic Normalization of Polish Texts. CoRR abs/2402.01300 (2024) - [i13]Daniel Dzienisiewicz, Filip Gralinski, Piotr Jablonski, Marek Kubis, Pawel Skórzewski, Piotr Wierzchon:
POLygraph: Polish Fake News Dataset. CoRR abs/2407.01393 (2024) - [i12]Filip Gralinski, Ryszard Staruch, Krzysztof Jurkiewicz:
Oddballness: universal anomaly detection with language models. CoRR abs/2409.03046 (2024) - 2023
- [c28]Jakub Pokrywka, Marcin Biedalak, Filip Gralinski, Krzysztof Biedalak:
Modeling Spaced Repetition with LSTMs. CSEDU (2) 2023: 88-95 - [c27]Karolina Konopka, Michal Turski, Filip Gralinski:
Arxiv Tables: Document Understanding Challenge Linking Texts and Tables. ICDAR Workshops (2) 2023: 94-107 - [c26]Michal Turski, Tomasz Stanislawek, Karol Kaczmarek, Pawel Dyda, Filip Gralinski:
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data. ICDAR (3) 2023: 348-365 - [i11]Michal Turski, Tomasz Stanislawek, Karol Kaczmarek, Pawel Dyda, Filip Gralinski:
CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data. CoRR abs/2304.14953 (2023) - 2022
- [c25]Karol Kaczmarek, Jakub Pokrywka, Filip Gralinski:
Using Transformer models for gender attribution in Polish. FedCSIS 2022: 73-77 - [c24]Jakub Pokrywka, Filip Gralinski:
Temporal Language Modeling for Short Text Document Classification with Transformers. FedCSIS 2022: 121-128 - [c23]Jakub Pokrywka, Filip Gralinski, Krzysztof Jassem, Karol Kaczmarek, Krzysztof Jurkiewicz, Piotr Wierzchon:
Challenging America: Modeling language in longer time scales. NAACL-HLT (Findings) 2022: 737-749 - 2021
- [j1]Lukasz Borchmann, Dawid Jurkiewicz, Filip Gralinski, Tomasz Górecki:
Dynamic Boundary Time Warping for sub-sequence matching with few examples. Expert Syst. Appl. 169: 114344 (2021) - [c22]Michal Pietruszka, Lukasz Borchmann, Filip Gralinski:
Successive Halving Top-k Operator. AAAI 2021: 15869-15870 - [c21]Lukasz Garncarek, Rafal Powalski, Tomasz Stanislawek, Bartosz Topolski, Piotr Halama, Michal Turski, Filip Gralinski:
LAMBERT: Layout-Aware Language Modeling for Information Extraction. ICDAR (1) 2021: 532-547 - [c20]Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. ICDAR (1) 2021: 564-579 - [c19]Lukasz Borchmann, Michal Pietruszka, Tomasz Stanislawek, Dawid Jurkiewicz, Michal Turski, Karolina Szyndler, Filip Gralinski:
DUE: End-to-End Document Understanding Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i10]Tomasz Stanislawek, Filip Gralinski, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts. CoRR abs/2105.05796 (2021) - 2020
- [c18]Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Jakub Chledowski, Filip Gralinski:
From Dataset Recycling to Multi-Property Extraction and Beyond. CoNLL 2020: 641-651 - [c17]Lukasz Borchmann, Dawid Wisniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Lukasz Szalkiewicz, Gabriela Palka, Karol Kaczmarek, Agnieszka Kaliska, Filip Gralinski:
Contract Discovery: Dataset and a Few-shot Semantic Retrieval Challenge with Competitive Baselines. EMNLP (Findings) 2020: 4254-4268 - [c16]Dawid Jurkiewicz, Lukasz Borchmann, Izabela Kosmala, Filip Gralinski:
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them. SemEval@COLING 2020: 1415-1424 - [i9]Lukasz Garncarek, Rafal Powalski, Tomasz Stanislawek, Bartosz Topolski, Piotr Halama, Filip Gralinski:
LAMBERT: Layout-Aware language Modeling using BERT for information extraction. CoRR abs/2002.08087 (2020) - [i8]Filip Gralinski, Tomasz Stanislawek, Anna Wróblewska, Dawid Lipinski, Agnieszka Kaliska, Paulina Rosalska, Bartosz Topolski, Przemyslaw Biecek:
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout. CoRR abs/2003.02356 (2020) - [i7]Dawid Jurkiewicz, Lukasz Borchmann, Izabela Kosmala, Filip Gralinski:
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them. CoRR abs/2005.07934 (2020) - [i6]Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Filip Gralinski, Jakub Chledowski:
On the Multi-Property Extraction and Beyond. CoRR abs/2006.08281 (2020) - [i5]Michal Pietruszka, Lukasz Borchmann, Filip Gralinski:
Sparsifying Transformer Models with Differentiable Representation Pooling. CoRR abs/2009.05169 (2020) - [i4]Lukasz Borchmann, Dawid Jurkiewicz, Filip Gralinski, Tomasz Górecki:
Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples. CoRR abs/2010.14464 (2020) - [i3]Michal Pietruszka, Lukasz Borchmann, Filip Gralinski:
Successive Halving Top-k Operator. CoRR abs/2010.15552 (2020) - [i2]Tomasz Dwojak, Michal Pietruszka, Lukasz Borchmann, Jakub Chledowski, Filip Gralinski:
From Dataset Recycling to Multi-Property Extraction and Beyond. CoRR abs/2011.03228 (2020)
2010 – 2019
- 2019
- [c15]Filip Gralinski, Anna Wróblewska, Tomasz Stanislawek, Kamil Grabowski, Tomasz Górecki:
GEval: Tool for Debugging NLP Datasets and Models. BlackboxNLP@ACL 2019: 254-262 - [i1]Lukasz Borchmann, Dawid Wisniewski, Andrzej Gretkowski, Izabela Kosmala, Dawid Jurkiewicz, Lukasz Szalkiewicz, Gabriela Palka, Karol Kaczmarek, Agnieszka Kaliska, Filip Gralinski:
Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task. CoRR abs/1911.03911 (2019) - 2017
- [c14]Filip Gralinski, Rafal Jaworski, Lukasz Borchmann, Piotr Wierzchon:
The RetroC challenge: how to guess the publication year of a text? DATeCH 2017: 29-34 - [c13]Pawel Skórzewski, Krzysztof Jassem, Filip Gralinski:
Automated Normalization and Analysis of Historical Texts. LCT 2017: 73-86 - 2016
- [c12]Filip Gralinski, Lukasz Borchmann, Piotr Wierzchon:
"He Said She Said" ― a Male/Female Corpus of Polish. LREC 2016 - [c11]Filip Gralinski, Rafal Jaworski, Lukasz Borchmann, Piotr Wierzchon:
Vive la Petite Différence! - Exploiting Small Differences for Gender Attribution of Short Texts. TSD 2016: 54-61 - 2015
- [c10]Filip Gralinski, Piotr Wierzchon:
RetroC - A Corpus for Evaluating Temporal Classifiers. LTC 2015: 101-111 - 2013
- [p1]Filip Gralinski, Krzysztof Jassem, Marcin Junczys-Dowmunt:
PSI-Toolkit: A Natural Language Processing Pipeline. Computational Linguistics - Applications 2013: 27-39 - 2012
- [c9]Filip Gralinski:
Mining the Web for Idiomatic Expressions Using Metalinguistic Markers. TSD 2012: 112-118 - 2010
- [c8]Filip Gralinski:
Mining Parenthetical Translations for Polish-English Lexica. CICLing 2010: 464-472 - [c7]Aleksandra Wojak, Filip Gralinski:
Matura Evaluation Experiment Based on Human Evaluation of Machine Translation. IMCSIT 2010: 547-551 - [c6]Filip Gralinski, Agata Savary, Monika Czerepowicka, Filip Makowiecki:
Computational Lexicography of Multi-Word Units. How Efficient Can It Be? MWE@COLING 2010: 2-10
2000 – 2009
- 2009
- [c5]Filip Gralinski, Krzysztof Jassem, Michal Marcinczuk:
An Environment for Named Entity Recognition and Translation. EAMT 2009 - [c4]Filip Gralinski, Marcin Walas:
Looking for new words out there. IMCSIT 2009: 213-218 - [c3]Filip Gralinski, Krzysztof Jassem, Roman Kurc:
Acquiring Bilingual Lexica from Keyword Listings. LTC 2009: 361-370 - 2006
- [c2]Filip Gralinski:
Some Methods of Describing Discontinuity in Polish and Their Cost-Effectiveness. TSD 2006: 69-77 - 2003
- [c1]Krzysztof Jassem, Filip Gralinski, Tomasz Kowalski:
Applying Transition Networks in Translating Polish E-Mails. IIS 2003: 521-527
Coauthor Index
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last updated on 2024-10-10 22:14 CEST by the dblp team
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