SZTAKI HLT | Seminar

Upcoming seminars

Gábor Recski
April 22, 2021, 14:30

Building practical MT systems, Part II
Csaba Oravecz
May 6, 2021, 14:30

Past seminars

April 8, 2021 Record Linking for Meltwater's Knowledge Graph Marton Mihaltz
March 25, 2021 Building practical MT systems for real life: research and/or engineering? Csaba Oravecz
March 11, 2021 Dictionary building as a downstream task András Kornai
Feb. 25, 2021 Evaluating multilingual language models Judit Ács
Dec. 11, 2020 Novel applications of NLP models András Lukács
Oct. 1, 2020 Investigation of the relationship between sparse word representations and their interpretability Gábor Berend
May 18, 2020 Foundations of non-compositional semantics András Kornai
May 11, 2020 Better Together: Modern methods plus traditional thinking in NP alignment Ádám Kovács
May 4, 2020 Three-order normalized PMI for verb structure similarity Márton Makrai
April 20, 2020 (see the Hungarian page) Judit Ács
April 6, 2020 Learning the weights of a HFST morphology Gábor Borbély
March 30, 2020 Concept graphs fror lexical inference Ádám Kovács
Oct. 21, 2019 BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars Ádám Kovács
Oct. 14, 2019 The Gutenberg Dialog Data Set for Neural Dialogue Models Richárd Csáky
Oct. 7, 2019 Sequence Modeling with Neural Networks, Tips and Tricks Judit Ács
Sept. 30, 2019 Brain-storming: Typed Event-Focused Lexical Inference Gábor Recski
June 28, 2019 Interactive diary -- classification with a Hungarian thesaurus Tibor Vámos
June 26, 2019 Variational autoencoders 2. Dániel Varga
June 14, 2019 Results and ideals about WFSA Gábor Borbély
June 7, 2019 Variational autoencoders 1. Dániel Varga
May 24, 2019 Polarized opinions from free association networks Bálint File
May 17, 2019 Extractive summarization - methods and problems Gábor Recski
May 10, 2019 Chatbot architecture for the Amazon Alexa competition Richárd Csáky
April 26, 2019 Word embedding reduction Dániel Lévai
April 12, 2019 Sentiment-enhanced generation Péter Ihász
April 5, 2019 Transformer and the GPT-2 deep language model Dávid Márk Nemeskey
March 22, 2019 Verb sense induction with tensor decomposition Márton Makrai
Feb. 27, 2019 UMAP continued Gábor Borbély
Feb. 1, 2019 UMAP Gábor Borbély
Dec. 7, 2018 Deep contextualized word representations Gábor Berend
Oct. 26, 2018 Approaches to Surface Realization of Universal Dependencies Gábor Recski
Oct. 19, 2018 The Book of Why Péter Földiák
Oct. 12, 2018 Borbély: Wasserstein VAE, Makrai: mondatklaszterezés Gábor Borbély
Sept. 28, 2018 Making chatbots better by entropy-based data filtering (and future directions) Richárd Csáky
Sept. 21, 2018 SkipGram - Zipf + Uniform = Vector Additivity Gábor Borbély
Aug. 22, 2018 Expanding Access to Language through Data-Driven Design Danielle Bragg
April 13, 2018 Semantic compression and rate distortion theory for memory representations Dávid Gergely Nagy
Feb. 9, 2018 Bayesian model comparison of distributions with unequal supports Gábor Borbély
Dec. 14, 2017 Comprehensive Conditioning of Neural Conversational Models Richárd Csáky
Nov. 30, 2017 Bayesian model selection, inference and Minimum Description Length Péter Földiák
Nov. 23, 2017 Hungarian morphological segmentation using recurrent and convolutional networks Judit Ács
Nov. 9, 2017 The length of natural sentences Gábor Borbély
Nov. 2, 2017 Brainstorming for SemEval Task 10: Capturing Discriminative Attributes Márton Makrai
Sept. 21, 2017 Recurrent dropout Dávid Márk Nemeskey
Sept. 14, 2017 Stanford’s Graph-based Neural Dependency Parser Gábor Recski
Sept. 7, 2017 Chatbots Gábor Recski
June 15, 2017 Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling Márton Makrai
June 1, 2017 Wasserstein GAN Gábor Borbély
May 11, 2017 Autoencoder experiments on Hungarian words Judit Ács
April 27, 2017 Beyond RNN: multi-dimensional RNN, RNN transducers, RNN grammars Dávid Márk Nemeskey
April 13, 2017 Training a Universal Word Embedding Eszter Iklódi
March 30, 2017 Interpreted Regular Tree Grammars for semantic parsing Gábor Recski
March 16, 2017 2 recent papers on Deep Learning
March 2, 2017 Visualizing and Understanding Recurrent Networks Gábor Borbély