Long sentences have been a persistent issue in written communication for many years since
they make it challenging for readers to grasp the main points or follow the initial intention of …

In this paper we advocate the use of bilingual corpora which are abundantly available for
training sentence compression models. Our approach borrows much of its machinery from …

With the development of Deep Learning, Natural Language Processing (NLP) applications
have reached or even exceeded human-level capabilities in certain tasks. Although NLP …

Abstract In English, high-quality sentence compression models by deleting words have been
trained on automatically created large training datasets. We work on Japanese sentence …

This paper proposes a human-in-the-loop framework to summarize news articles by
sentence selection and compression. The system enumerates summary candidates by …

Natural language allows for the same meaning (semantics) to be expressed in multiple
different ways, ie paraphrasing. This thesis examines automatic approaches for …

抄録 本稿では, 日本語ニュース記事の要約支援を目的とする, ドメイン特化事前学習済みモデルを
用いた編集支援システムについて報告する. 具体的には実社会のシステム要件を整理し …