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||<style="border:0;padding-left:30px;padding-bottom:5px">[[https://www.youtube.com/watch?v=SbPAdmRmW08|{{attachment:seminarium-archiwum/youtube.png}}]] '''A multilayer rule based model of Polish inflection'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk delivered in Polish.}}|| | ||<style="border:0;padding-left:30px;padding-bottom:5px">[[https://www.youtube.com/watch?v=SbPAdmRmW08|{{attachment:seminarium-archiwum/youtube.png}}]] '''[[attachment:seminarium-archiwum/2018-10-15.pdf|A multilayer rule based model of Polish inflection]]'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk delivered in Polish.}}|| |
Natural Language Processing Seminar 2018–2019
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, normally at 10:15 am, in the seminar room of the ICS PAS (ul. Jana Kazimierza 5, Warszawa). All recorded talks are available on YouTube. |
1 October 2018 |
Janusz S. Bień (University of Warsaw – prof. emeritus) |
We will focus on the indexes to lexicographical resources available online in DjVu format. Such indexes can be browsed, searched, modified and created with the djview4poliqarp open source program; the origins and the history of the program will be briefly presented. Originally the index support was added to the program to handle the list of entries in the 19th century Linde's dictionary, but can be used conveniently also for other resources, as will be demonstrated on selected examples. In particular some new features, introduced to the program in the last months, will be presented publicly for the first time. |
15 October 2018 |
Wojciech Jaworski, Szymon Rutkowski (University of Warsaw) |
The presentation will be devoted to the multilayer model of Polish inflection. The model has been developed on the basis of Grammatical Dictionary of Polish; it does not use the concept of a inflexion paradigm. The model consists of three layers of hand-made rules: "orthographic-phonetic layer" converting a segment to representation reflecting morphological patterns of the language, "analytic layer" generating lemma and determining affix and "interpretation layer" giving a morphosyntactic interpretation based on detected affixes. The model provides knowledge about the language to a morphological analyzer supplemented with the function of guessing lemmas and morphosyntactic interpretations for non-dictionary forms (guesser). The second use of the model is generation of word forms based on lemma and morphosyntactic interpretation. The presentation will also cover the issue of disambiguation of the results provided by the morphological analyzer. The demo version of the program is available on the Internet. |
29 October 2018 |
Jakub Waszczuk (Heinrich-Heine-Universität Düsseldorf) |
Integrating multiword expression in syntactic parsing using A* and discriminative modeling methods |
During the seminar I will present two different approaches to identifying verbal multiword expressions (VMWEs) in coordination with syntactic parsing. The first approach consists in promoting MWEs in A* TAG (tree-adjoining grammar) parsing. It assumes that potential MWE candidates are pre-identified prior to parsing (e.g., as a result of MWE-aware supertagging). The experiments performed on Składnica showed that this strategy allows to significantly prune the parser's search space with little loss in syntactic parsing accuracy. In the second approach, VMWE identification is deferred to a post-processing phase in which (dependency) parsing results are already determined. VMWE identification is then reduced to the problem of dependency tree labeling, where one of two labels (MWE or not-MWE) must be predicted for each node in the dependency tree. A system based on this approach, using multiclass logistic regression for tree labeling, ranked 1st in the closed track of the PARSEME shared task 2018. A part of the talk will be also dedicated to Concraft-pl 2.0, the new version of a morphosyntactic tagger for Polish based on conditional random fields. Concraft-pl 2.0 performs morphosyntactic segmentation as a by-product of disambiguation, which allows to use it directly on the segmentation graphs provided by Morfeusz. This is in contrast with other existing taggers for Polish, which either neglect the problem of segmentation or rely on heuristics to perform it in a pre-processing stage. |
5 November 2018 |
Jakub Kozakoszczak (Faculty of Modern Languages, University of Warsaw / Heinrich-Heine-Universität Düsseldorf) |
Mornings to Wednesdays — semantics and normalization of Polish quasi-periodical temporal expression |
The standard interpretations of expressions like “Januarys” and “Fridays” in temporal representation and reasoning are slices of collections of 2nd order, e.g. all the sixth elements of day sequences of cardinality 7 aligned with calendar weeks. I will present results of the work on normalizing most frequent Polish quasi-periodical temporal expressions for online booking systems. On the linguistic side I will argue against synonymy of the kind “Fridays” = “sixth days of the weeks” and give semantic tests for rudimentary classification of quasi-periodicity. In the formal part I will propose an extension to existing formalisms covering intensional quasi-periodical operators “from”, “to”, “before” and “after” restricted to monotonic domains. In the implementation part I will demonstrate an algorithm for lazy generation of generalized intersection of collections. |
19 November 2018 |
Daniel Zeman (Institute of Formal and Applied Linguistics, Charles University in Prague) |
Talk title will be available shortly |
Talk summary will be available shortly. |
3 December 2018 |
Ekaterina Lapshinova-Koltunski (Saarland University) |
Analysis and Annotation of Coreference for Contrastive Linguistics and Translation Studies |
In this talk, I will report on the ongoing work on coreference analysis in a multilingual context. I will present two approaches in the analysis of coreference and coreference-related phenomena: (1) top-down or theory-driven: here we start from some linguistic knowledge derived from the existing frameworks, define linguistic categories to analyse and create an annotated corpus that can be used either for further linguistic analysis or as training data for NLP applications; (2) bottom-up or data-driven: in this case, we start from a set of features of shallow character that we believe are discourse-related. We extract these structures from a huge amount of data and analyse them from a linguistic point of view trying to describe and explain the observed phenomena from the point of view of existing theories and grammars. |
7 January 2019 |
Adam Przepiórkowski (Institute of Computer Science, Polish Academy of Sciences / University of Warsaw), Agnieszka Patejuk (Institute of Computer Science, Polish Academy of Sciences / University of Oxford) |
Talk title will be available shortly |
Talk summary will be available shortly. |
Please see also the talks given in 2000–2015 and 2015–2018. |