Стектік тарату

Traditional syntax models typically lever- age part-of-speech (POS) information by constructing features from hand-tuned templates. We demonstrate that a better approach is to utilize POS tags as a reg- ularizer …...

In this paper, we present a two-stage neu- ral quality estimation model that uses mul- tilevel task learning for translation quality estimation (QE) at the sentence, word, and phrase levels. …...

AbstractEvent time is one of the most important features for event-event temporal relation extraction. However, explicit event time information in text is sparse. For example, only about 20% of event …...