35 citations · 151 across the 44 of their papers we have counts for
4 papers · 1 filter
Enhancing Machine Translation with Dependency-Aware Self-Attention
Emanuele Bugliarello, Naoaki Okazaki
Most neural machine translation models only rely on pairs of parallel sentences, assuming syntactic information is automatically learned by an attention mechanism. In this work, we…
Learning to Select, Track, and Generate for Data-to-Text
Hayate Iso, Yui Uehara, Tatsuya Ishigaki +6
We propose a data-to-text generation model with two modules, one for tracking and the other for text generation. Our tracking module selects and keeps track of salient information…
Positional Encoding to Control Output Sequence Length
Sho Takase, Naoaki Okazaki
Neural encoder-decoder models have been successful in natural language generation tasks. However, real applications of abstractive summarization must consider additional constraint…
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation
Yuta Hitomi, Yuya Taguchi, Hideaki Tamori +5
Browsing news articles on multiple devices is now possible. The lengths of news article headlines have precise upper bounds, dictated by the size of the display of the relevant dev…