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 …
Survey on reinforcement learning for language processing
V Uc-Cetina, N Navarro-Guerrero… - Artificial Intelligence …, 2023 - Springer
In recent years some researchers have explored the use of reinforcement learning (RL)
algorithms as key components in the solution of various natural language processing (NLP) …
algorithms as key components in the solution of various natural language processing (NLP) …
Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook
B Lin - Expert Systems with Applications, 2024 - Elsevier
In recent years, reinforcement learning and bandits have transformed a wide range of real-
world applications including healthcare, finance, recommendation systems, robotics, and …
world applications including healthcare, finance, recommendation systems, robotics, and …
[图书][B] Reinforcement learning for adaptive dialogue systems: a data-driven methodology for dialogue management and natural language generation
The past decade has seen a revolution in the field of spoken dialogue systems. As in other
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …
areas of Computer Science and Artificial Intelligence, data-driven methods are now being …
Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models
Rapid growth in the reliance on teamwork in organizations, coupled with advances in
artificial intelligence, has fueled increased use of Human Autonomy Teams (HATs) involving …
artificial intelligence, has fueled increased use of Human Autonomy Teams (HATs) involving …
Natural language generation in the context of the semantic web
Abstract Natural Language Generation (NLG) is concerned with transforming given content
input into a natural language output, given some communicative goal. Although this input …
input into a natural language output, given some communicative goal. Although this input …
Referential choice: Predictability and its limits
AA Kibrik, MV Khudyakova, GB Dobrov… - Frontiers in …, 2016 - frontiersin.org
We report a study of referential choice in discourse production, understood as the choice
between various types of referential devices, such as pronouns and full noun phrases. Our …
between various types of referential devices, such as pronouns and full noun phrases. Our …
Structured probabilistic modelling for dialogue management
P Lison - 2014 - duo.uio.no
This thesis presents a new modelling framework for dialogue management based on the
concept of probabilistic rules. Probabilistic rules are defined as if... then... else constructions …
concept of probabilistic rules. Probabilistic rules are defined as if... then... else constructions …
Preference-based interactive multi-document summarisation
Interactive NLP is a promising paradigm to close the gap between automatic NLP systems
and the human upper bound. Preference-based interactive learning has been successfully …
and the human upper bound. Preference-based interactive learning has been successfully …
Natural language generation as incremental planning under uncertainty: Adaptive information presentation for statistical dialogue systems
We present and evaluate a novel approach to natural language generation (NLG) in
statistical spoken dialogue systems (SDS) using a data-driven statistical optimization …
statistical spoken dialogue systems (SDS) using a data-driven statistical optimization …