Data-to-text generation via planning

Author: cyok

August undefined, 2024

Weband (b) text generation produces the output text given the content plan as input; at each decoding step, the generation model attends over vector representations of the records … WebNov 19, 2024 · Text Generation From Data With Dynamic Planning Abstract: Transcribing structural data into readable text (data-to-text) is a fundamental language generation …

Plan-then-Generate: Controlled Data-to-Text Generation via Planning

WebApr 13, 2024 · Unmanned-aerial-vehicle (UAV)-aided data collection for Internet of Things applications has attracted increasing attention. This paper investigates motion planning … Web23 rows · Data-to-Text Generation 90 papers with code • 22 benchmarks • 20 datasets A classic problem in natural-language generation (NLG) involves taking structured data, … orange tabby fur fabric

Step-by-Step: Separating Planning from Realization in Neural Data …

WebMar 1, 2024 · Abstract. Planning based text generation from structural data is an emerging approach that manages to plan for “what to say.”. Existing methods can not dynamically … WebDec 9, 2024 · Given the recipe title and ingredients, the content planner ( section 3.2) first predicts the most probable content plan. The predicted content plan then guides the generation of the sequence generator ( section 3.3) via a lightweight and plug-and-play operation. Below, we elaborate the details of the proposed approach. WebIntroduction. 神经data-to-text生成模型近年不断发展，但这些模型有两个缺点：loss information and inconsistent。为了减轻这些问题，我们提出neural data-to-text … orange tabby female cats rare

Data-to-Text Generation with Content Selection and Planning

Data-to-text Generation with Variational Sequential …

WebMay 24, 2014 · Re: Use data only, but block voice calling. vzw_customer_support. Customer Service Rep. 05-24-2014 07:00 PM. midwest-meemaw I hope that you have an amazing time! There isn't a setting that will allow you to block calls and still use the network for data. However as long as you don't make/answer the calls, then you will not be charged airtime. WebCurrently, I have two topics: (1) task-oriented dialogue systems [1]; (2) contrastive representation learning on pre-trained language model [2]; open-ended text generation [3]; and plug-and-play multi-modal text generation [4] . Publications (*: equal contribution) Selected Publications iphone xdwWebApr 6, 2024 · Data-to-text generation can be conceptually divided into two parts: ordering and structuring the information (planning), and generating fluent language describing the information (realization). Modern neural generation systems conflate these two steps into a single end-to-end differentiable system. orange tabby cat with orange eyes

"WebMar 1, 2024 · Planning based text generation from structural data is an emerging approach that manages to plan for “what to say.” Existing methods can not dynamically … " - Data-to-text generation via planning

Data-to-text generation via planning

Data-to-text Generation with Variational Sequential Planning

WebPlanning based text generation from structural data is an emerging approach that manages to plan for “what to say.” Existing methods can not dynamically adjust the planning, because they generate complete plans statically without considering the result of surface realization. To address this issue, we propose a model that conducts dynamic … WebMay 2024 - Apr 20243 years. San Francisco Bay Area. 1. Responsible for architecting and developing multiple data pipelines and models. supporting reporting and data science use cases. 2. Working ...

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WebMar 1, 2024 · In each sentence's generation, our model first plans the records according to the generated text and the plan history, then realizes the sentence conditioned on the … WebJan 1, 2024 · To enable long text generation (i.e., generate a long paragraph that delivers various perspectives on the table data), a global content planner (Su et al., 2024) needs to be designed to...

WebJun 8, 2024 · Abstract. We consider the task of data-to-text generation, which aims to create textual output from non-linguistic input. We focus on generating long-form text, that is, documents with multiple paragraphs, and propose a neural model enhanced with a planning component responsible for organizing high-level information in a coherent and … WebApr 10, 2024 · In recent years, pretrained models have been widely used in various fields, including natural language understanding, computer vision, and natural language …

WebApr 11, 2024 · A full accounting of our systematic review methods is available in [].We added slight updates and additional details to the data synthesis and presentation section to track the final analyses (e.g., we excluded longitudinal range shift studies from the final analysis given the limited number of observations and difficulty of linking with temperature-related … WebThis study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long …

WebSep 19, 2024 · The text-to-text architecture of the T5 made it easy to feed structured data (which can be a combination of text and numerical data) into the model. I used the …

Webonly captures loose data-text correspondence and adopts a weak markov assumption for the segment transition probability. Therefore, it underperforms the neural attention baseline as for generation. Our model is also in spirit related to recent attempts at separating content planning and surface realization in neural data-to-text models (Zhao et ... iphone xender to pcWebFeb 28, 2024 · We consider the task of data-to-text generation, which aims to create textual output from non-linguistic input. We focus on generating long-form text, i.e., … iphone xfinity mobileWebApr 6, 2024 · The results demonstrate that decoupling text planning from neural realization indeed improves the system’s reliability and adequacy while maintaining fluent output, and improvements both in BLEU scores and in manual evaluations are observed. Data-to-text generation can be conceptually divided into two parts: ordering and structuring the … iphone xe release dateWebJan 1, 2024 · To enable long text generation (i.e., generate a long paragraph that delivers various perspectives on the table data), a global content planner (Su et al., 2024) needs … iphone xfinity email setupWeb2 days ago · 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 … orange tabby life expectancyWebFeb 15, 2024 · We present an approach to estimate the quality of discourse structure. Empirical results confirm that the discourse structure of currently generated texts is … orange tabby house catWebApr 12, 2024 · At a high level, UniPi has four major components: 1) consistent video generation with first-frame tiling, 2) hierarchical planning through temporal super … iphone xe camera