A review on question generation from natural language text
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …
which aims to generate natural and relevant questions from various input formats, eg …
Recent progress in leveraging deep learning methods for question answering
Question answering, serving as one of important tasks in natural language processing,
enables machines to understand questions in natural language and answer the questions …
enables machines to understand questions in natural language and answer the questions …
Event extraction as machine reading comprehension
Event extraction (EE) is a crucial information extraction task that aims to extract event
information in texts. Previous methods for EE typically model it as a classification task, which …
information in texts. Previous methods for EE typically model it as a classification task, which …
Reinforcement learning based graph-to-sequence model for natural question generation
Natural question generation (QG) aims to generate questions from a passage and an
answer. Previous works on QG either (i) ignore the rich structure information hidden in …
answer. Previous works on QG either (i) ignore the rich structure information hidden in …
Few-shot NLG with pre-trained language model
Neural-based end-to-end approaches to natural language generation (NLG) from structured
data or knowledge are data-hungry, making their adoption for real-world applications difficult …
data or knowledge are data-hungry, making their adoption for real-world applications difficult …
Recent advances in neural question generation
Emerging research in Neural Question Generation (NQG) has started to integrate a larger
variety of inputs, and generating questions requiring higher levels of cognition. These trends …
variety of inputs, and generating questions requiring higher levels of cognition. These trends …
Do you follow? a fully automated system for adaptive robot presenters
A Axelsson, G Skantze - Proceedings of the 2023 acm/ieee international …, 2023 - dl.acm.org
An interesting application for social robots is to act as a presenter, for example as a museum
guide. In this paper, we present a fully automated system architecture for building adaptive …
guide. In this paper, we present a fully automated system architecture for building adaptive …
Cocon: A self-supervised approach for controlled text generation
Pretrained Transformer-based language models (LMs) display remarkable natural language
generation capabilities. With their immense potential, controlling text generation of such LMs …
generation capabilities. With their immense potential, controlling text generation of such LMs …
Connecting embeddings for knowledge graph entity typing
Knowledge graph (KG) entity typing aims at inferring possible missing entity type instances
in KG, which is a very significant but still under-explored subtask of knowledge graph …
in KG, which is a very significant but still under-explored subtask of knowledge graph …
Toward subgraph-guided knowledge graph question generation with graph neural networks
Knowledge graph (KG) question generation (QG) aims to generate natural language
questions from KGs and target answers. Previous works mostly focus on a simple setting that …
questions from KGs and target answers. Previous works mostly focus on a simple setting that …