The NLP Seminar is organised by the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS). It takes place on (some) Mondays, usually at 10:15 am, often online – please use the link next to the presentation title. All recorded talks are available on YouTube.

7 September 2026

Varvara Magomedova (University of Nova Gorica)

Veje – a future treebank of Slovenian dialectal texts  

Slovenian dialect research has produced a lot of literature, but not as many data sources. The lack of available syntactically annotated corpora limits research for those, who do not have access to native speakers. This talk presents the first phase of Veje – to become a Slovenian dialect treebank. The present version of the pipeline is designed to reduce the manual work. The pipeline has two modules – normalization and annotation. In the first stage, dialectal surface forms are normalized towards standard Slovenian through a sequence of corrected lexical replacements, deterministic phonological rules, Sloleks-based morphological validation, and a constrained GaMS residual corrector. The process preserves token order and alignment wherever possible and records substitutions that cannot be morphologically verified for later review. In the second stage, normalized sentences are parsed with the non-standard Slovenian CLASSLA-Stanza model, while SloBERTa identifies whatever could not be normalized and sends it to GaMS for a second check of the annotation. The resulting extended CoNLL-U representation retains the original dialect form alongside its normalized equivalent, Universal Dependencies annotation, dialect metadata, and audit information. The current output is intentionally silver-standard: native speakers and dialectologists will correct selected data into a gold subset, which will subsequently support evaluation and model fine-tuning. I will also show the web-platform developed based on user needs study held with corpora users.

21 September 2026

Mirosław Koziarski (independent researcher)

The Digital Edition of the “Varsovian Dictionary”  

The Dictionary of the Polish Language, edited by Jan Karłowicz, Adam Kryński, and Władysław Niedźwiedzki and commonly known as the Varsovian Dictionary, is one of the most important and extensive works of Polish lexicography. Its eight volumes, published between 1900 and 1927 and comprising almost 7,800 pages, document Polish from a wide range of periods, regions, registers, and domains. Although scans of the dictionary are available in digital libraries, its content has largely remained locked within images of printed pages.

In this presentation, I will introduce the project of a digital edition of the Varsovian Dictionary, which develops the methodology and tools designed as part of my doctoral dissertation. I will discuss the successive stages of processing: source selection and analysis, image processing and segmentation, OCR—now also supported by AI-based tools—text correction and normalisation, hierarchical parsing of dictionary entries, validation, indexing, and the generation of derived data. The core component is a parser that transforms a linear transcription into a structured XML representation. It identifies several dozen types of segments, including headwords, variants, grammatical information, senses and subsenses, definitions, qualifiers, usage examples, etymologies, cross-references, and phraseological units, as well as the relations between them. Given the complexity and inconsistency of the source material, the process is iterative and combines automatic methods with manual verification.

The online edition extends an earlier research prototype into a gradually expanding platform. Users can compare a formatted entry with its source transcription, raw XML, and the corresponding facsimile. Structuring the content also makes it possible to create new paths of access to the data: a corpus of examples, collections of derivative pairs, a consolidated index of abbreviations, quantitative statistics, and a matrix comparing the dictionary’s headword inventory with those of other Polish dictionaries.

Finally, I will present the current state of the project, its quality-control mechanisms, and the limitations of automatic processing of historical lexicographic material. I will also outline planned developments.

19 October 2026

Justyna Gromada, Natalia Krawczyk (Orange Research)

Evaluation of Conversational Agents and Interpretable Satisfaction Modeling in Sales Dialogues  

Talk summary will be made available shortly.

22 October 2026

Nina Smirnova (GESIS – Leibniz Institute for the Social Sciences)

The title of the talk will be made available soon  

Talk summary will be made available shortly.

9 November 2026

Piotr Pęzik (University of Łódź)

The title of the talk will be made available soon  

Talk summary will be made available shortly.

19 November 2026

Sabina Tomkins (University of Michigan)

The title of the talk will be made available soon  

Talk summary will be made available shortly.

23 November 2026

Persuasion in Parliament and Beyond: Computational Analysis of Political Discourse

Mini-conference supported by the Polish Academy od Sciences  

ParlaMint – Comparable and Interoperable Parliamentary Corpora (Tomaž Erjavec, Jožef Stefan Institute)

Beyond the Polish Parliamentary Corpus (Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences)

Leveraging Persuasion and Intent for Analysis and Reasoning-based Detection of Disinformation with Large Language Models (Arkadiusz Modzelewski, University of Padova)

From Detecting Persuasion to Predicting Its Success: Persuasion Strategies as Predictive Signals (Tiziano Labruna, Fondazione Bruno Kessler)

A Corpus of Persuasion Techniques in Slavic Languages (Jakub Piskorski, Joint Research Centre of the European Commission)

30 November 2026

AI Without Borders

Mini-conference supported by the Polish Academy od Sciences  

Universalist modelling and processing of idiomaticity in the PARSEME and UniDive framework – recent developments and the state of Polish (Agata Savary, Paris-Saclay University)

Detecting AI generated content on surface- and idea-level (Marzena Karpińska, Simon Fraser University)

Can Neural Network Models Learn Logic? (Jakub Szymanik, University of Trento)

Faithful Explanations in the Age of Large Language Models (Mateusz Lango, Charles University in Prague)

AI Argues Differently: Distinctive Persuasive Patterns and Communicative Strategies of LLMs (Agnieszka Faleńska, University of Stuttgart)

In Search for Universal Language Similarity Metric with Application in Multilingual AI (Michał Ptaszyński, Kitami Institute of Technology)

Answering Questions and Temporal Reasoning in Large Language Models (Adam Jatowt, University of Innsbruck)

Safety Vulnerabilities in Spoken Language Models and Web Agents (Karolina Stańczak, ETH Zurich)

Please see also the talks given in 2000–2015 and 2015–2026.