Tomáš Kočiský | DeepAI

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∙ 05/23/2022

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models

Knowledge and language understanding of models evaluated through questio...

0 Adam Liska, et al. ∙

∙ 02/03/2022

Towards Coherent and Consistent Use of Entities in Narrative Generation

Large pre-trained language models (LMs) have demonstrated impressive cap...

0 Pinelopi Papalampidi, et al. ∙

∙ 02/03/2021

Pitfalls of Static Language Modelling

Our world is open-ended, non-stationary and constantly evolving; thus wh...

0 Angeliki Lazaridou, et al. ∙

∙ 09/04/2019

Mogrifier LSTM

Many advances in Natural Language Processing have been based upon more e...

0 Gábor Melis, et al. ∙

∙ 01/31/2019

Learning and Evaluating General Linguistic Intelligence

We define general linguistic intelligence as the ability to reuse previo...

8 Dani Yogatama, et al. ∙

∙ 07/04/2018

Encoding Spatial Relations from Natural Language

Natural language processing has made significant inroads into learning t...

2 Tiago Ramalho, et al. ∙

∙ 05/23/2018

Pushing the bounds of dropout

We show that dropout training is best understood as performing MAP estim...

0 Gábor Melis, et al. ∙

∙ 12/19/2017

The NarrativeQA Reading Comprehension Challenge

Reading comprehension (RC)---in contrast to information retrieval---requ...

0 Tomáš Kočiský, et al. ∙

∙ 06/08/2017

Dynamic Integration of Background Knowledge in Neural NLU Systems

Common-sense or background knowledge is required to understand natural l...

0 Dirk Weissenborn, et al. ∙

∙ 11/08/2016

The Neural Noisy Channel

We formulate sequence to sequence transduction as a noisy channel decodi...

0 Lei Yu, et al. ∙

∙ 09/29/2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders

We present a novel semi-supervised approach for sequence transduction an...

0 Tomáš Kočiský, et al. ∙

∙ 04/07/2016

Optimizing Performance of Recurrent Neural Networks on GPUs

As recurrent neural networks become larger and deeper, training times fo...

0 Jeremy Appleyard, et al. ∙

∙ 03/22/2016

Latent Predictor Networks for Code Generation

Many language generation tasks require the production of text conditione...

0 Wang Ling, et al. ∙

∙ 09/22/2015

Reasoning about Entailment with Neural Attention

While most approaches to automatically recognizing entailment relations ...

0 Tim Rocktäschel, et al. ∙

∙ 06/10/2015

Teaching Machines to Read and Comprehend

Teaching machines to read natural language documents remains an elusive ...

0 Karl Moritz Hermann, et al. ∙

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