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On the Role of Summary Content Units in Text Summarization Evaluation

Nawrath, Marcel, Nowak, Agnieszka, Ratz, Tristan, Walenta, Danilo C., Opitz, Juri, Ribeiro, Leonardo F. R., Sedoc, João, Deutsch, Daniel, Mille, Simon, Liu, Yixin, Zhang, Lining, Gehrmann, Sebastian, Mahamood, Saad, Clinciu, Miruna, Chandu, Khyathi, Hou, Yufang

arXiv.org Artificial Intelligence

At the heart of the Pyramid evaluation method for text summarization lie human written summary content units (SCUs). These SCUs are concise sentences that decompose a summary into small facts. Such SCUs can be used to judge the quality of a candidate summary, possibly partially automated via natural language inference (NLI) systems. Interestingly, with the aim to fully automate the Pyramid evaluation, Zhang and Bansal (2021) show that SCUs can be approximated by automatically generated semantic role triplets (STUs). However, several questions currently lack answers, in particular: i) Are there other ways of approximating SCUs that can offer advantages? ii) Under which conditions are SCUs (or their approximations) offering the most value? In this work, we examine two novel strategies to approximate SCUs: generating SCU approximations from AMR meaning representations (SMUs) and from large language models (SGUs), respectively. We find that while STUs and SMUs are competitive, the best approximation quality is achieved by SGUs. We also show through a simple sentence-decomposition baseline (SSUs) that SCUs (and their approximations) offer the most value when ranking short summaries, but may not help as much when ranking systems or longer summaries.


Tokyo Olympics opening ceremony included a light display with 1,800 drones

Engadget

There may not have been any fans in the Olympic Stadium, but Japan still found a way to put on a show for the opening of the 2020 Summer Games. The host country charmed early with the parade of nations, which featured an orchestrated video game soundtrack, and then showed off the type of creativity it's known for with a performance involving the Olympic pictograms. But Tokyo saved the biggest spectacle for last. Towards the end of the ceremony, a fleet of 1,824 drones took to the skies above the Olympic Stadium. Initially arrayed in the symbol of the 2020 Games, they then took on the shape of the Earth before a rendition of John Lenon's "Imagine," which was reworked by Hans Zimmer for the Olympics, played across the stadium.


Goodbye Rio, hello robots: Expect high-tech cool at 2020 Tokyo Olympics

#artificialintelligence

Japanese Prime Minister Shinzo Abe, dressed as Super Mario, holds a red ball during the closing ceremony of the Rio 2016 Olympic Games in Rio de Janeiro. Japanese PM Shinzo Abe's show-stopping appearance at today's closing ceremony in Rio, dressed as iconic game character Super Mario, already sets the tone for what lies in store. Japan is known internationally for its technological innovations, so Tokyo 2020 organizers are aiming to launch ambitious tech projects that will boost the economy and wow crowds. Tourists staying next to the Olympic Village in Tokyo's Odaiba neighborhood can choose, for example, to hang out with robot helpers of all sizes and sorts that offer up tips on the best transport, food and entertainment options in Tokyo. And that won't be the only place they'll encounter their robotic counterparts.