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| ||<style="border:0;padding:0">The NLP Seminar is organised by the [[http://nlp.ipipan.waw.pl/|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, normally at 10:15 am, in the seminar room of the ICS PAS (ul. Jana Kazimierza 5, Warszawa). ||<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.pl/|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, normally at 10:15 am, in the seminar room of the ICS PAS (ul. Jana Kazimierza 5, Warszawa). ||<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">'''21 November 2016'''|| ||<style="border:0;padding-left:30px;padding-bottom:0px">'''Rafał Jaworski''' (Adam Mickiewicz University in Poznań)|| ||<style="border:0;padding-left:30px;padding-bottom:5px">'''Concordia – translation memory search algorithm'''  {{attachment:seminarium-archiwum/icon-pl.gif|Talk delivered in Polish.}}|| ||<style="border:0;padding-left:30px;padding-bottom:15px">Description will be available shortly.|| |
Natural Language Processing Seminar 2016–2017
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). |
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10 October 2016 |
Katarzyna Pakulska, Barbara Rychalska, Krystyna Chodorowska, Wojciech Walczak, Piotr Andruszkiewicz (Samsung) |
Paraphrase Detection Ensemble – SemEval 2016 winner |
This seminar describes the winning solution designed for a core track within the SemEval 2016 English Semantic Textual Similarity (STS) task. The goal of the competition was to measure semantic similarity between two given sentences on a scale from 0 to 5. At the same time the solution should replicate human language understanding. The presented model is a novel hybrid of recursive auto-encoders from deep learning (RAE) and a WordNet award-penalty system, enriched with a number of other similarity models and features used as input for Linear Support Vector Regression. |
24 October 2016 |
Adam Przepiórkowski, Jakub Kozakoszczak, Jan Winkowski, Daniel Ziembicki, Tadeusz Teleżyński (Institute of Computer Science, Polish Academy of Sciences / University of Warsaw) |
Corpus of formalized steps of textual entailment |
Description will be available shortly. |
7 November 2016 |
Norbert Ryciak, Aleksander Wawer (Institute of Computer Science, Polish Academy of Sciences) |
Using recursive deep neural networks and syntax to compute phrase semantics |
Description will be available shortly. |
21 November 2016 |
Rafał Jaworski (Adam Mickiewicz University in Poznań) |
Concordia – translation memory search algorithm |
Description will be available shortly. |
9 January 2017 |
Agnieszka Pluwak (Institute of Slavic Studies, Polish Academy of Sciences) |
Title of the talk will be available shortly |
Description will be available shortly. |
Please see also the talks given between 2000 and 2015 and 2015-16. |