Generative language models for paragraph-level question generation
A Ushio, F Alva-Manchego… - arXiv preprint arXiv …, 2022 - arxiv.org
Powerful generative models have led to recent progress in question generation (QG).
However, it is difficult to measure advances in QG research since there are no standardized …
However, it is difficult to measure advances in QG research since there are no standardized …
Educational question generation of children storybooks via question type distribution learning and event-centric summarization
Generating educational questions of fairytales or storybooks is vital for improving children's
literacy ability. However, it is challenging to generate questions that capture the interesting …
literacy ability. However, it is challenging to generate questions that capture the interesting …
Reinforcement learning-driven deep question generation with rich semantics
Deep question generation (DQG) refers to generating a complex question from different
sentences in context. Existing methods mainly focus on enhancing information extraction …
sentences in context. Existing methods mainly focus on enhancing information extraction …
Selecting better samples from pre-trained LLMs: A case study on question generation
Large Language Models (LLMs) have in recent years demonstrated impressive prowess in
natural language generation. A common practice to improve generation diversity is to …
natural language generation. A common practice to improve generation diversity is to …
Peek across: Improving multi-document modeling via cross-document question-answering
The integration of multi-document pre-training objectives into language models has resulted
in remarkable improvements in multi-document downstream tasks. In this work, we propose …
in remarkable improvements in multi-document downstream tasks. In this work, we propose …
A practical toolkit for multilingual question and answer generation
A Ushio, F Alva-Manchego… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating questions along with associated answers from a text has applications in several
domains, such as creating reading comprehension tests for students, or improving document …
domains, such as creating reading comprehension tests for students, or improving document …
Question generation and answering for exploring digital humanities collections
This paper introduces the question answering paradigm as a way to explore digitized
archive collections for Social Science studies. In particular, we are interested in evaluating …
archive collections for Social Science studies. In particular, we are interested in evaluating …
" What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
We propose a type-controlled framework for inquisitive question generation. We annotate an
inquisitive question dataset with question types, train question type classifiers, and finetune …
inquisitive question dataset with question types, train question type classifiers, and finetune …
Promptly Predicting Structures: The Return of Inference
Prompt-based methods have been used extensively across NLP to build zero-and few-shot
label predictors. Many NLP tasks are naturally structured: that is, their outputs consist of …
label predictors. Many NLP tasks are naturally structured: that is, their outputs consist of …
DiffQG: Generating questions to summarize factual changes
Identifying the difference between two versions of the same article is useful to update
knowledge bases and to understand how articles evolve. Paired texts occur naturally in …
knowledge bases and to understand how articles evolve. Paired texts occur naturally in …