Papers by Maciej Ogrodniczuk
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe (2020.lrec-1)
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Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajič, Khalid Choukri, Andrejs Vasiļjevs, Gerhard Backfried, Christoph Prinz, José Manuel Gómez-Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriūtė, Núria Bel, António Branco, Gerhard Budin, Walter Daelemans, Koenraad De Smedt, Radovan Garabík, Maria Gavriilidou, Dagmar Gromann, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lindén, Bernardo Magnini, Jan Odijk, Maciej Ogrodniczuk, Eiríkur Rögnvaldsson, Mike Rosner, Bolette Pedersen, Inguna Skadiņa, Marko Tadić, Dan Tufiș, Tamás Váradi, Kadri Vider, Andy Way, François Yvon
| Challenge: | Language Technologies (LTs) are a powerful means to break down language barriers impacting business, cross-lingual and cross-cultural communication in Europe. |
| Approach: | They present an overview of the European LT landscape and the current state of play in industry and the LT market. |
| Outcome: | The present study outlines funding programmes, activities, actions and challenges in the different countries with regard to LT, including the current state of play in industry and the LT market. |
Polish Discourse Corpus (PDC): Corpus Design, ISO-Compliant Annotation, Data Highlights, and Parser Development (2024.lrec-main)
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Maciej Ogrodniczuk, Aleksandra Tomaszewska, Daniel Ziembicki, Sebastian Żurowski, Ryszard Tuora, Aleksandra Zwierzchowska
| Challenge: | The Polish Discourse Corpus employs ISO 24617-8 for discourse relation annotation. |
| Approach: | They propose to adopt ISO 24617-8 standard for discourse relation annotation for Polish and to develop a parser tailored for the framework. |
| Outcome: | The Polish Discourse Corpus adopts ISO 24617-8, a segment of the Language Resource Management – Semantic Annotation Framework (SemAF) the paper examines the corpus architecture, annotation procedures, and the challenges encountered by annotators. |
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources (2022.lrec-1)
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Tamás Váradi, Bence Nyéki, Svetla Koeva, Marko Tadić, Vanja Štefanec, Maciej Ogrodniczuk, Bartłomiej Nitoń, Piotr Pęzik, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Dan Tufiș, Radovan Garabík, Simon Krek, Andraž Repar
| Challenge: | The CURLICAT CEF Telecom project aims to collect and deeply annotate a set of large corpora from selected domains. |
| Approach: | They present the results of the CURLICAT CEF Telecom project . they propose to collect and deeply annotate a set of large corpora from selected domains . |
| Outcome: | The CURLICAT CEF Telecom project provides a set of large corpora from selected domains . the corporatized corporates are tokenized, lemmatized and morphologically analysed . |
Universal Anaphora: The First Three Years (2024.lrec-main)
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Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman
| Challenge: | Universal Anaphora initiative aims to push forward the state of the art in anaphora and anaphorism resolution by expanding the aspects of anaphonic interpretation which are or can be reliably annotated in an anagraphic corpora. |
| Approach: | They propose to develop a standard for anaphoric annotations and a method for evaluating models that can carry out this type of interpretation. |
| Outcome: | The Universal Anaphora initiative aims to push forward the state of the art in anaphora and anaphorism resolution by producing unified standards to annotate and encode annotations, delivering datasets encoded according to these standards, and developing methods for evaluating models that carry out this type of interpretation. |
PolQA: Polish Question Answering Dataset (2024.lrec-main)
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| Challenge: | Recent proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance. |
| Approach: | They propose an efficient annotation strategy that increases passage retrieval accuracy@10 by 10.55 p.p. while reducing the annotation cost by 82%. |
| Outcome: | The proposed approach increases passage retrieval accuracy @10 by 10.55 p.p. while reducing the annotation cost by 82%. |
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering (2024.lrec-main)
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| Challenge: | lexical approaches to find passages have outperformed lexicals due to their superior performance . however, for some languages, such as Polish, few models are available . a recent study shows that neural retrievers are more efficient and efficient than lexica. |
| Approach: | They present a neural retriever for Polish trained on a diverse collection of manual and weakly labeled datasets. |
| Outcome: | The proposed model outperforms lexical retrieval models in Polish on three retrieval tasks. |
Deep Neural Networks for Coreference Resolution for Polish (L18-1)
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| Challenge: | Existing deep neural networks for coreference resolution for Polish have been used to resolve textual fragments that refer to the same entity in the discourse world. |
| Approach: | They propose a system combining the best deep neural architecture and sieve-based coreference resolvers ordered from most to least precise to achieve the highest results. |
| Outcome: | The proposed system improves the state of the art for Polish by 0.53 F1 points, reaching 81.23 points of the CoNLL metric. |
The MARCELL Legislative Corpus (2020.lrec-1)
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Tamás Váradi, Svetla Koeva, Martin Yamalov, Marko Tadić, Bálint Sass, Bartłomiej Nitoń, Maciej Ogrodniczuk, Piotr Pęzik, Verginica Barbu Mititelu, Radu Ion, Elena Irimia, Maria Mitrofan, Vasile Păiș, Dan Tufiș, Radovan Garabík, Simon Krek, Andraz Repar, Matjaž Rihtar, Janez Brank
| Challenge: | MARCELL corpus provides a rich and valuable source for further studies and developments in machine learning, cross-lingual terminological data extraction and classification. |
| Approach: | They present the results of the project MARCELL CEF Telecom . they aim to collect and deeply annotate a large comparable corpus of legal documents . |
| Outcome: | The MARCELL corpus includes 7 monolingual sub-corpora containing the body of respective national legislative documents. |