A survey on neural question generation: Methods, applications, and prospects
In this survey, we present a detailed examination of the advancements in Neural Question
Generation (NQG), a field leveraging neural network techniques to generate relevant …
Generation (NQG), a field leveraging neural network techniques to generate relevant …
Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources
To address the data scarcity issue in Conversational question answering (ConvQA), a dialog
inpainting method, which utilizes documents to generate ConvQA datasets, has been …
inpainting method, which utilizes documents to generate ConvQA datasets, has been …
MinPrompt: Graph-based minimal prompt data augmentation for few-shot question answering
Few-shot question answering (QA) aims at achieving satisfactory results on machine
question answering when only a few training samples are available. Recent advances …
question answering when only a few training samples are available. Recent advances …
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
Educational chatbots are a promising tool for assisting student learning. However, the
development of effective chatbots in education has been challenging, as high-quality data is …
development of effective chatbots in education has been challenging, as high-quality data is …
Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models
The automatic evaluation of natural language generation (NLG) systems presents a long-
lasting challenge. Recent studies have highlighted various neural metrics that align well with …
lasting challenge. Recent studies have highlighted various neural metrics that align well with …
[PDF][PDF] Small Generative Language Models for Educational Question Generation
F Fawzi, S Amini, S Bulathwela - … of the NeurIPS Workshop on Generative …, 2023 - gaied.org
The automatic generation of educational questions will play a key role in scaling online
education, enabling self-assessment at scale when a global population is manoeuvring their …
education, enabling self-assessment at scale when a global population is manoeuvring their …
Syntax-aware graph-to-graph transformer for semantic role labelling
A Mohammadshahi, J Henderson - arXiv preprint arXiv:2104.07704, 2021 - arxiv.org
Recent models have shown that incorporating syntactic knowledge into the semantic role
labelling (SRL) task leads to a significant improvement. In this paper, we propose Syntax …
labelling (SRL) task leads to a significant improvement. In this paper, we propose Syntax …
Opinerium: Subjective Question Generation using Large Language Models
P Babakhani, A Lommatzsch, T Brodt, D Sacker… - IEEE …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive study on generating subjective inquiries for news
media posts to empower public engagement with trending media topics. While previous …
media posts to empower public engagement with trending media topics. While previous …
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Y Hwang, Y Kim, Y Jang, J Bang, H Bae… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite advancements in on-topic dialogue systems, effectively managing topic shifts within
dialogues remains a persistent challenge, largely attributed to the limited availability of …
dialogues remains a persistent challenge, largely attributed to the limited availability of …
Flowlogue: A Novel Framework for Synthetic Dialogue Generation with Structured Flow from Text Passages
Y Kim, Y Hwang, H Bae, T Kang, K Jung - IEEE Access, 2024 - ieeexplore.ieee.org
Dialogue systems play a pivotal role in domains ranging from customer service to virtual
assistance and education, using natural language to deliver information and resolve …
assistance and education, using natural language to deliver information and resolve …