52 citations · 58 across the 3 of their papers we have counts for
5 papers
Efficient Machine Translation Domain Adaptation
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Machine translation models struggle when translating out-of-domain text, which makes domain adaptation a topic of critical importance. However, most domain adaptation methods focus…
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of auto…
Sparse Text Generation
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Current state-of-the-art text generators build on powerful language models such as GPT-2, achieving impressive performance. However, to avoid degenerate text, they require sampling…
Joint Learning of Named Entity Recognition and Entity Linking
Pedro Henrique Martins, Zita Marinho, André F. T. Martins
Named entity recognition (NER) and entity linking (EL) are two fundamentally related tasks, since in order to perform EL, first the mentions to entities have to be detected. Howeve…
A deep learning approach for understanding natural language commands for mobile service robots
Pedro Henrique Martins, Luís Custódio, Rodrigo Ventura
Using natural language to give instructions to robots is challenging, since natural language understanding is still largely an open problem. In this paper we address this problem b…