Considering a collection of RDF triples, the RDF-to-text generation task aims to generate a text description. Most previous methods solve this task using a sequence-to-sequence model or using a graph-based model to encode RDF triples and to generate a text sequence. Nevertheless, these approaches fail to clearly model the local and global structural information between and within RDF triples. Moreover, the previous methods also face the non-negligible problem of low faithfulness of the generated text, which seriously affects the overall performance of these models. To solve these problems, we propose a model combining two new graph-augmented structural neural encoders to jointly learn both local and global structural information in the input RDF triples. To further improve text faithfulness, we innovatively introduce a reinforcement learning (RL) reward based on information extraction (IE). We first extract triples from the generated text using a pretrained IE model and regard the correct number of the extracted triples as the additional RL reward. Experimental results on two benchmark datasets demonstrate that our proposed model outperforms the state-of-the-art baselines, and the additional reinforcement learning reward does help to improve the faithfulness of the generated text.

Carolina Huaranca is making a name for herself in Silicon Valley. During those three intensive days spent brainstorming new technologies, she realized she was not the only one. Huaranca was one of just two Latinos in a room of 100 people. Nonetheless, she gave birth to a start-up -- and a mission: to one day bring together Latinos so they, too, could have a shot at a career in the tech industry. Now as one of Silicon Valley's few Latina venture capitalists, Huaranca is making good on her promise by helping host Startup Weekend Oakland: Latinx Tech Edition.

Mitch and Freada Kapor have long been champions of equality. They talk about their hope for a more diverse tech workforce in Silicon Valley. Mitch was the man behind Lotus Notes and has gone on to be a big promoter of social issues. During those three intensive days spent brainstorming new technologies, she realized she was not the only one. Huaranca was one of just two Latinos in a room of 100 people.