Sentence Fusion is the task of combining several independent sentences into a single coherent text. Sentence Fusion is important in many NLP applications, including retrieval-based dialogue, text summarization and question answering.
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Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing.
There is thus a crucial gap between sentence selection and fusion to support summarizing by both compressing single sentences and fusing pairs.
We create a dataset containing the documents, source and fusion sentences, and human annotations of points of correspondence between sentences.
The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts.