[PDF] Top 20 Data-to-Text Generation with Content Selection and Planning
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Data-to-Text Generation with Content Selection and Planning
... the content planner which brings performance ...best content selection and content ordering scores in terms of ...relation generation; content selection precision also ... See full document
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Step by Step: Separating Planning from Realization in Neural Data to Text Generation
... Data-to-text generation can be conceptually divided into two parts: ordering and struc- turing the information (planning), and gener- ating fluent language describing the informa- tion ... See full document
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Collective Content Selection for Concept to Text Generation
... Alignment Recall that our collective classification method is supervised. The training instances are database entries and the class labels indicate whether an instance should be selected for presentation or not. We could ... See full document
8
Enhanced Transformer Model for Data to Text Generation
... Transformer-based data-to-text generation ...the content- oriented evaluation metrics. In addition, we pro- posed two data augmentation methods, each of them improves different aspects ... See full document
9
Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue
... tent selection, utterance planning and surface real- isation in a unified fashion, and we suggest to use Hierarchical Reinforcement Learning (HRL) with Bayesian networks to achieve ...human data as ... See full document
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Narrative: Text Generation Model from Data
... given data looking for patterns and trends); Data Interpretation (it identifies complex messages in the domain from patterns and trends found in the first activity, identifying relations among the ... See full document
8
Sentence Level Content Planning and Style Specification for Neural Text Generation
... For Wikipedia, the sentence style is defined by length. To validate its effect on content selection, we calculate the average number of keyphrases per style type. The results on human written para- graphs ... See full document
12
Data to text Generation with Entity Modeling
... relation generation, content selection, and ...to content selection and ...produce text displaying nominal coreference which is absent from the outputs of ED+CC and ... See full document
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Select and Attend: Towards Controllable Content Selection in Text Generation
... Many text generation tasks naturally contain two steps: content selection and surface real- ...the content to be de- scribed in the text cannot be explicitly con- ...coupling ... See full document
12
Building RDF Content for Data to Text Generation
... our content selection method can be used to automatically create a graduated benchmark for natural language generation in which the inputs are of increasing size and exhibit a good level of semantic ... See full document
10
Long and Diverse Text Generation with Planning based Hierarchical Variational Model
... for data-to-text gen- eration are still struggling to produce long and diverse texts: they are insufficient to model input data dynamically during generation, to capture inter-sentence ... See full document
12
BEYOND TEXT: A FRAMEWORK FOR MULTIMEDIA CONTENT GENERATION ON THE WEB
... is content based searching process and another one is text based searching ...the content based on the search process and based on the related ...the content searching process also may reduce ... See full document
6
Investigating Content Selection for Language Generation using Machine Learning
... The first three categories in the table are quite intuitive and implicit from the respective sections of the scorecard. There is additional information in a typical scorecard (not shown in Figure 1), which we must also ... See full document
8
Statistical Acquisition of Content Selection Rules for Natural Language Generation
... tent Selection rules, a task that is difficult to per- form manually and must be repeated for each new ...of text and associated knowledge that we have produced from the ...in generation. Our ... See full document
8
Data Anonymous Encoding for Text to SQL Generation
... on text-to-SQL genera- tion with the table as the source of the knowledge and with question-SQL query pairs as ...than text-to-SQL generation, some studies have tried to reduce lexical problem by ... See full document
10
Text Content and Task Performance in the Evaluation of a Natural Language Generation System
... generated text – particularly its informativeness and relevance – and its utility for ...the content selection strategies underlying the BT -45 and the gold standard ... See full document
6
Adaptive Information Presentation for Spoken Dialogue Systems: Evaluation with real users
... novel data-driven approach to Nat- ural Language Generation in spoken dialogue ...both content plan- ning and attribute selection are jointly opti- mised based on data collected in a ... See full document
8
SYSTRAN @ WNGT 2019: DGT Task
... Document-level Generation and Trans- lation (DGT) Shared Task of the 3rd Workshop on Neural Generation and Translation (WNGT ...considers content selection. The network takes in structured ... See full document
6
THE "POWER" OF TEXT PRODUCTION ACTIVITY IN COLLABORATIVE MODELING : NINE RECOMMENDATIONS TO MAKE A COMPUTER SUPPORTED SITUATION WORK
... a text always serves some communicative goal, which requires the linguistic realization of the text to respect a number of pragmatic and rhetorical constraints that permit to reach the envisaged ... See full document
39
Mixture Content Selection for Diverse Sequence Generation
... each data point, which is also known as multiple choice learning (Guzman-Rivera et ...diversify content selection and let the encoder- decoder models one-to-one ... See full document
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