WebApr 14, 2024 · planning with neural models. We hypothesize data-to-text generation will benefit from explicit planning, which manifests itself in (a) micro planning, (b) latent entity plan-ning, and (c) macro planning. Throughout this thesis, we assume the input to our generator are tables (with records) in the sports domain. And the output are summaries WebData-to-text Generation with Macro Planning Ratish Puduppully and Mirella Lapata Institute for Language, Cognition and Computation School of Informatics, University of …
Data-to-text Generation with Macro Planning - NASA/ADS
WebApril 07, 2024. Data-to-text generation converts information from a structured format such as a table into natural language. This allows structured information to be read or listened to, as when a device displays a weather forecast or a voice assistant answers a question. Language models trained on billions of sentences learn common linguistic ... Websentence in the text). This data allows us to train in a supervised manner on the data-to-plan task. 3 Modeling Plans We hypothesize that the task of generating text from a set of triplets T= t 1;:::;t nwill be improved if we model it as a pipeline of two stages T!Plan and Plan!Text. Since plans are not observed, we need to de-cide how to model ... data analytics for oil and gas industry
Data-to-text Generation with Entity Modeling - Semantic Scholar
WebJul 5, 2024 · Macro plans represent high level organization of important content such as entities, events, and their interactions; they are learned from data and given as input to … WebAug 14, 2024 · Abstract The problem of Data-to-Text Generation (D2T) is usually solved using a modular approach by breaking the generation process into some variant of planning and realisation phases.... WebData-to-text Generation with Macro Planning Ratish Puduppully and Mirella Lapata Institute for Language, Cognition and Computation School of Informatics, University of … bit in cs