Add to ORKGZarrieß S, Richardson K. An Automatic Method for Building a Data-to-Text Generator. In: Proceedings of the 14th {E}uropean Workshop on Natural Language Generation. Sofia, Bulgaria: Association for Computational Linguistics; 2013: 202-203
We describe a method for generating sentences from “keywords ” or “headwords”. This method consists ...
We present a comparison of word-based and character-based sequence-to sequence models for data-to-te...
We introduce the problems of data-to-text generation and the current state of the art, i.e. pretrain...
We describe our contribution to the Generating from Knowledge Bases (KBgen) challenge. Our system is...
I propose a representation formalism and algorithms to be used in a new language generation mechanis...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
This chapter is about natural language texts generated automatically. We will discuss the motivation...
Data-to-text systems are Natural Language Generation (NLG) systems that generate textural summaries ...
This work is a presentation of tagging and formatting of text-data corpus. It creates a layer above ...
International audienceWith the development of the web of data, recent statisti-cal, data-to-text gen...
Data-to-text systems are powerful in generating reports from data automatically and thus they simpli...
Text Generation is a pressing topic of Natural Language Processing that involves the prediction of u...
Automatic Text Generation (ATG) is a Natural Language Processing (NLP) task that aims at writing acc...
Updated version of tutorial Sanja Štajner, Horacio Saggion. Data-Driven Text Simplification. Proce...
Concept-to-text generation refers to the task of automatically producing textual output from non-lin...
We describe a method for generating sentences from “keywords ” or “headwords”. This method consists ...
We present a comparison of word-based and character-based sequence-to sequence models for data-to-te...
We introduce the problems of data-to-text generation and the current state of the art, i.e. pretrain...
We describe our contribution to the Generating from Knowledge Bases (KBgen) challenge. Our system is...
I propose a representation formalism and algorithms to be used in a new language generation mechanis...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
This chapter is about natural language texts generated automatically. We will discuss the motivation...
Data-to-text systems are Natural Language Generation (NLG) systems that generate textural summaries ...
This work is a presentation of tagging and formatting of text-data corpus. It creates a layer above ...
International audienceWith the development of the web of data, recent statisti-cal, data-to-text gen...
Data-to-text systems are powerful in generating reports from data automatically and thus they simpli...
Text Generation is a pressing topic of Natural Language Processing that involves the prediction of u...
Automatic Text Generation (ATG) is a Natural Language Processing (NLP) task that aims at writing acc...
Updated version of tutorial Sanja Štajner, Horacio Saggion. Data-Driven Text Simplification. Proce...
Concept-to-text generation refers to the task of automatically producing textual output from non-lin...
We describe a method for generating sentences from “keywords ” or “headwords”. This method consists ...
We present a comparison of word-based and character-based sequence-to sequence models for data-to-te...
We introduce the problems of data-to-text generation and the current state of the art, i.e. pretrain...