Evaluation of text generation to date has primarily focused on content created sequentially,
rather than improvements on a piece of text. Writing, however, is naturally an iterative and …

Information Synchronization of semi-structured data across languages is challenging. For
instance, Wikipedia tables in one language should be synchronized across languages. To …

Reading and understanding the stories in the news is increasingly difficult. Reporting on
stories evolves rapidly, politicized news venues offer different perspectives (and sometimes …

News articles are driven by the informational sources journalists use in reporting. Modeling
when, how and why sources get used together in stories can help us better understand the …

We present NewsSense, a novel sensemaking tool and reading interface designed to collect
and integrate information from multiple news articles on a central topic. NewsSense …

Making image retrieval methods practical for real-world search applications requires
significant progress in dataset scales, entity comprehension, and multimodal information …

Today, most newspapers utilize social media to disseminate news. On the one hand, this
results in an overload of related articles for social media users. On the other hand, since …

Collaborative review and revision of textual documents is the core of knowledge work and a
promising target for empirical analysis and NLP assistance. Yet, a holistic framework that …

Journalists must find stories in huge amounts of textual data (eg leaks, bills, press releases)
as part of their jobs: determining when and why text becomes news can help us understand …

Text editing is a crucial task that involves modifying text to better align with user intents.
However, existing text editing benchmark datasets have limitations in providing only coarse …