research
∙
05/24/2022
Chunk-based Nearest Neighbor Machine Translation
Semi-parametric models, which augment generation with retrieval, have le...
share
research
∙
04/26/2022
Efficient Machine Translation Domain Adaptation
Machine translation models struggle when translating out-of-domain text,...
research
∙
10/25/2021
Self-Consistent Models and Values
Learned models of the environment provide reinforcement learning (RL) ag...
research
∙
09/01/2021
∞-former: Infinite Memory Transformer
Transformers struggle when attending to long contexts, since the amount ...
research
∙
05/12/2021
Priberam at MESINESP Multi-label Classification of Medical Texts Task
Medical articles provide current state of the art treatments and diagnos...
research
∙
04/06/2020
Sparse Text Generation
Current state-of-the-art text generators build on powerful language mode...
research
∙
02/13/2020
Sparse and Structured Visual Attention
Visual attention mechanisms are widely used in multimodal tasks, such as...
research
∙
07/18/2019
Joint Learning of Named Entity Recognition and Entity Linking
Named entity recognition (NER) and entity linking (EL) are two fundament...
research
∙
04/03/2019
Automated Fact Checking in the News Room
Fact checking is an essential task in journalism; its importance has bee...
research
∙
04/03/2019
Jointly Extracting and Compressing Documents with Summary State Representations
We present a new neural model for text summarization that first extracts...
research
∙
04/03/2019
Jointly Extracting and Compressing Documentswith Summary State Representations
We present a new neural model for text summarization that first extracts...
research
∙
03/05/2018
Recurrent Predictive State Policy Networks
We introduce Recurrent Predictive State Policy (RPSP) networks, a recurr...
research
∙
10/02/2017
