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).

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 textual entailment steps  

The authors present resources created within CLARIN project aiming to help with qualitative evaluation of RTE systems: two textual derivations corpora and a corpus of textual entailment rules. Textual derivation is a series of atomic steps which connects Text with Hypothesis in a textual entailment pair. Original pairs are taken from the FraCaS corpus and a polish translation of the RTE3 corpus. Textual entailment rule sanctions textual entailment relation between the input and the output of a step, using syntactic patterns written in the UD standard and some other semantic, logical and contextual constraints expressed in FOL.

7 November 2016

Rafał Jaworski (Adam Mickiewicz University in Poznań)

Concordia – translation memory search algorithm  

The talk covers the Concordia algorithm (http://tmconcordia.sourceforge.net/), which is used to maximize the productivity of a human translator. The algorithm combines the features of standard fuzzy translation memory searching with a concordancer. As the key non-functional requirement of computer-aided translation mechanisms is performance, Concordia incorporates upgraded versions of standard approximate searching techniques, aiming at reducing the computational complexity.

21 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  

The seminar presents initial experiments on recursive phrase-level sentiment computation using dependency syntax and deep learning. We discuss neural network architectures and implementations created within Clarin 2 and present results on English language resources. Seminar also covers undergoing work on Polish language resources.

5 December 2017

Dominika Rogozińska (Google)

Title of the talk will be available shortly  

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.

23 January 2017

Marek Rogalski (Lodz University of Technology)

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.