| 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
|