Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …
Decoding methods in neural language generation: a survey
Neural encoder-decoder models for language generation can be trained to predict words
directly from linguistic or non-linguistic inputs. When generating with these so-called end-to …
directly from linguistic or non-linguistic inputs. When generating with these so-called end-to …
Sequence-to-sequence generation for spoken dialogue via deep syntax trees and strings
O Dušek, F Jurčíček - arXiv preprint arXiv:1606.05491, 2016 - arxiv.org
We present a natural language generator based on the sequence-to-sequence approach
that can be trained to produce natural language strings as well as deep syntax dependency …
that can be trained to produce natural language strings as well as deep syntax dependency …
Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models
A Belz - Natural Language Engineering, 2008 - cambridge.org
Two important recent trends in natural language generation are (i) probabilistic techniques
and (ii) comprehensive approaches that move away from traditional strictly modular and …
and (ii) comprehensive approaches that move away from traditional strictly modular and …
[PDF][PDF] PERSONAGE: Personality generation for dialogue
F Mairesse, M Walker - Proceedings of the 45th annual meeting of …, 2007 - aclanthology.org
Over the last fifty years, the “Big Five” model of personality traits has become a standard in
psychology, and research has systematically documented correlations between a wide …
psychology, and research has systematically documented correlations between a wide …
Controlling user perceptions of linguistic style: Trainable generation of personality traits
F Mairesse, MA Walker - Computational Linguistics, 2011 - direct.mit.edu
Recent work in natural language generation has begun to take linguistic variation into
account, developing algorithms that are capable of modifying the system's linguistic style …
account, developing algorithms that are capable of modifying the system's linguistic style …
[PDF][PDF] Phrase-based statistical language generation using graphical models and active learning
Most previous work on trainable language generation has focused on two paradigms:(a)
using a statistical model to rank a set of generated utterances, or (b) using statistics to inform …
using a statistical model to rank a set of generated utterances, or (b) using statistics to inform …
Neural personalized response generation as domain adaptation
One of the most crucial problem on training personalized response generation models for
conversational robots is the lack of large scale personal conversation data. To address the …
conversational robots is the lack of large scale personal conversation data. To address the …
Towards personality-based user adaptation: psychologically informed stylistic language generation
F Mairesse, MA Walker - User Modeling and User-Adapted Interaction, 2010 - Springer
Conversation is an essential component of social behavior, one of the primary means by
which humans express intentions, beliefs, emotions, attitudes and personality. Thus the …
which humans express intentions, beliefs, emotions, attitudes and personality. Thus the …
Stochastic language generation in dialogue using factored language models
F Mairesse, S Young - Computational Linguistics, 2014 - direct.mit.edu
Most previous work on trainable language generation has focused on two paradigms:(a)
using a generation decisions of an existing generator. Both approaches rely on the …
using a generation decisions of an existing generator. Both approaches rely on the …