Differences between revisions 654 and 807 (spanning 153 versions)
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| = Natural Language Processing Seminar 2024–2025 = | = Natural Language Processing Seminar 2026–2027 = |
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| ||<style="border:0;padding-bottom:10px">The NLP Seminar is organised by the [[http://nlp.ipipan.waw.pjl/|Linguistic Engineering Group]] at the [[http://www.ipipan.waw.pl/en/|Institute of Computer Science]], [[http://www.pan.pl/index.php?newlang=english|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 [[https://www.youtube.com/ipipan|YouTube]]. ||<style="border:0;padding-left:30px">[[seminarium|{{attachment:seminar-archive/pl.png}}]]|| | ||<style="border:0;padding-bottom:10px">The NLP Seminar is organised by the [[http://nlp.ipipan.waw.pjl/|Linguistic Engineering Group]] at the [[http://www.ipipan.waw.pl/en/|Institute of Computer Science]], [[http://www.pan.pl/index.php?newlang=english|Polish Academy of Sciences]] (ICS PAS). It will restart in October and will take 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 [[https://www.youtube.com/ipipan|YouTube]]. ||<style="border:0;padding-left:30px">[[seminarium|{{attachment:seminar-archive/pl.png}}]]|| |
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| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''7 October 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Janusz S. Bień''' (University of Warsaw, profesor emeritus) || ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''[[attachment:seminarium-archiwum/2024-10-07.pdf|Identifying glyphs in some 16th century fonts: a case study]]'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk in Polish.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">Some glyphs from 16th century fonts, described in the monumental work “[[https://crispa.uw.edu.pl/object/files/754258/display/Default|Polonia Typographica Saeculi Sedecimi]]”, can be more or less easily identified with the Unicode standard characters. Some glyphs don't have Unicode codepoints, but can be printed with an appropriate !OpenType/TrueType fonts using typographic features. For some of them their encoding remains an open question. Some examples will be discussed.|| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''14 October 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Alexander Rosen''' (Charles University in Prague)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''Lexical and syntactic variability of languages and text genres. A corpus-based study'''  {{attachment:seminarium-archiwum/icon-en.gif|Talk in English.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">The summary of the talk will be made available shortly.|| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''4 November 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Jakub Kozakoszczak''' (Deutsche Telekom)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''ZIML: A Markup Language for Regex-Friendly Linguistic Annotation'''  {{attachment:seminarium-archiwum/icon-en.gif|Talk in English.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">The summary of the talk will be made available shortly.|| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''21 November 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Christian Chiarcos''' (University of Augsburg)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''Aspects of Knowledge Representation for Discourse Relation Annotation'''  {{attachment:seminarium-archiwum/icon-en.gif|Talk in English.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">The summary of the talk will be made available shortly.|| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''2 December 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Participants of !PolEval 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''Presentation of the workshop results'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk in Polish.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">The program will be made available after the contest ends.|| ||<style="border:0;padding-top:5px;padding-bottom:5px">'''19 December 2024'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Piotr Przybyła''' (Pompeu Fabra University / Institute of Computer Science, Polish Academy of Sciences)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''Adaptive Attacks on Misinformation Detection Using Reinforcement Learning'''  {{attachment:seminarium-archiwum/icon-en.gif|Talk in English.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">The summary of the talk will be made available shortly.|| ||<style="border:0;padding-top:10px">Please see also [[http://nlp.ipipan.waw.pl/NLP-SEMINAR/previous-e.html|the talks given in 2000–2015]] and [[http://zil.ipipan.waw.pl/seminar-archive|2015–2023]].|| |
||<style="border:0;padding-top:10px">Please see also [[http://nlp.ipipan.waw.pl/NLP-SEMINAR/previous-e.html|the talks given in 2000–2015]] and [[http://zil.ipipan.waw.pl/seminar-archive|2015–2026]].|| |
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||<style="border:0;padding-top:5px;padding-bottom:5px">'''17 November 2025''' '''(NOTE: the seminar will start at 16:00)'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Marzena Karpińska''' (Microsoft) || ||<style="border:0;padding-left:30px;padding-bottom:5px">[[http://zil.ipipan.waw.pl/seminarium-online|{{attachment:seminarium-archiwum/teams.png}}]] '''!OneRuler: testing multilingual language models on long contexts'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk in Polish}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">In this presentation, I will look at how well language models perform when extracting information from texts of up to 128,000 tokens (approximately 100,000 words) in 26 languages, including Polish. The results of the experiments show that as the length of the context increases, the differences between languages with large and small data resources also increase. Surprisingly, even minimal changes in the command (adding the possibility that the information does not exist) cause a significant decrease in effectiveness, especially with longer texts.|| |
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||<style="border:0;padding-top:5px;padding-bottom:5px">'''2 April 2020'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Stan Matwin''' (Dalhousie University)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">'''Efficient training of word embeddings with a focus on negative examples'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk delivered in Polish.}} {{attachment:seminarium-archiwum/icon-en.gif|Slides in English.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">This presentation is based on our [[https://pdfs.semanticscholar.org/1f50/db5786913b43f9668f997fc4c97d9cd18730.pdf|AAAI 2018]] and [[https://aaai.org/ojs/index.php/AAAI/article/view/4683|AAAI 2019]] papers on English word embeddings. In particular, we examine the notion of “negative examples”, the unobserved or insignificant word-context co-occurrences, in spectral methods. we provide a new formulation for the word embedding problem by proposing a new intuitive objective function that perfectly justifies the use of negative examples. With the goal of efficient learning of embeddings, we propose a kernel similarity measure for the latent space that can effectively calculate the similarities in high dimensions. Moreover, we propose an approximate alternative to our algorithm using a modified Vantage Point tree and reduce the computational complexity of the algorithm with respect to the number of words in the vocabulary. We have trained various word embedding algorithms on articles of Wikipedia with 2.3 billion tokens and show that our method outperforms the state-of-the-art in most word similarity tasks by a good margin. We will round up our discussion with some general thought s about the use of embeddings in modern NLP.|| |
Natural Language Processing Seminar 2026–2027
The NLP Seminar is organised by the Linguistic Engineering Group at the Institute of Computer Science, Polish Academy of Sciences (ICS PAS). It will restart in October and will take 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. |
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Please see also the talks given in 2000–2015 and 2015–2026. |
