The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation

Understand

News articles, image captions, product reviews and many other texts mention people and organizations whose name recognition could vary for different audiences.

• In such cases, background information about the named entities could be provided in the form of an appositive noun phrase, either written by a human or generated automatically.
• We expand on the previous work in appositive generation with a new, more realistic, end-to-end definition of the task, instantiated by a dataset that spans four languages (English, Spanish, German and Polish), two entity types (person and organization) and two domains (Wikipedia and News).
• We carry out an extensive analysis of the data and the task, pointing to the various modeling challenges it poses.