Learning to Select, Track, and Generate for Data-to-Text

We propose a data-to-text generation model with two modules, one for tracking and the other for text generation. Our tracking module selects and keeps track of salient information and memorizes which record has been mentioned. Our generation module generates a summary conditioned on the state of tracking module. Our model is considered to simulate the human-like writing process that gradually selects the information by determining the intermediate variables while writing the summary. In addition, we also explore the effectiveness of the writer information for generation. Experimental results show that our model outperforms existing models in all evaluation metrics even without writer information. Incorporating writer information further improves the performance, contributing to content planning and surface realization.Comment: ACL 201

Subserosal Inflammatory Pseudotumor Causing Intussusception

We present an adult case of intussusception caused by subserosal inflammatory pseudotumor of the terminal ileum. Enteric intussusception was diagnosed by characteristic Xray finding, so called "beak-like" filling defect in the terminal ileum. An exploratory laparotomy revealed focal subserosal thickening in the terminal ileum, and partial ileocolectomy was performed. Microscopically, we identified a pseudotumor that extended through the muscularis propria into serosa. The pseudotumor was composed of fibrous stroma and chronic inflammatory cells with calcification