Tomasz Dwojak

From Dataset Recycling to Multi-Property Extraction and Beyond

2020

This paper investigates various Transformer architectures on the WikiReading Information Extraction and Machine Reading Comprehension dataset. The proposed dual-source model outperforms the current state-of-theart by a large margin.

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

2016 · arXiv (Cornell University)

In this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions. For ten directions we also include hierarchical phrase-based MT. Experiments are performed …

Predicting Target Language CCG Supertags Improves Neural Machine Translation

2017

Neural machine translation (NMT) models are able to partially learn syntactic information from sequential lexical information. Still, some complex syntactic phenomena such as prepositional phrase attachment are poorly modeled. This work aims to answer two …