Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟯𝟬𝟮 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗹𝗮𝗻-𝘁𝗵𝗲𝗻-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲: Controlled Data-to-Text Generation via Planning by Apple Follow me for a similar post: 🇮🇳 Ashish Patel ------------------------------------------------------------------- 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗙𝗮𝗰𝘁𝘀 : 🔸 This paper is published EMNLP 2021. 🔸In recent years, developments in neural networks have led to the advance of data-to-text generation. However, their inability to control structure can be limiting when applied to real-world applications requiring more specific formatting. 🔸Researchers from Apple and the University of Cambridge propose a novel Plan-then-Generate (PlanGen) framework to improve the controllability of neural data-to-text models. ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Recent developments in neural networks have led to the advance in data-to-text generation. However, the lack of ability of neural models to control the structure of generated output can be limiting in certain real-world applications. 🔸In this study, we propose a novel Plan-then-Generate (PlanGen) framework to improve the controllability of neural data-to-text models. 🔸Extensive experiments and analyses are conducted on two benchmark datasets, ToTTo and WebNLG. The results show that our model is able to control both the intra-sentence and inter-sentence structure of the generated output. 🔸Furthermore, empirical comparisons against previous state-of-the-art methods show that our model improves the generation quality as well as the output diversity as judged by human and automatic evaluations. ------------------------------------------------------------------- #computervision #artificialintelligence #deeplearning -------------------------------------------------------------------