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 …
A survey on deep learning approaches for text-to-SQL
G Katsogiannis-Meimarakis, G Koutrika - The VLDB Journal, 2023 - Springer
To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …
developed that allow users to pose natural language questions over relational databases …
Introduction to neural network‐based question answering over knowledge graphs
N Chakraborty, D Lukovnikov… - … : Data Mining and …, 2021 - Wiley Online Library
Question answering has emerged as an intuitive way of querying structured data sources
and has attracted significant advancements over the years. A large body of recent work on …
and has attracted significant advancements over the years. A large body of recent work on …
Learning contextual representations for semantic parsing with generation-augmented pre-training
Most recently, there has been significant interest in learning contextual representations for
various NLP tasks, by leveraging large scale text corpora to train powerful language models …
various NLP tasks, by leveraging large scale text corpora to train powerful language models …
CatSQL: Towards Real World Natural Language to SQL Applications
Natural language to SQL (NL2SQL) techniques provide a convenient interface to access
databases, especially for non-expert users, to conduct various data analytics. Existing …
databases, especially for non-expert users, to conduct various data analytics. Existing …
Introduction to neural network based approaches for question answering over knowledge graphs
Question answering has emerged as an intuitive way of querying structured data sources,
and has attracted significant advancements over the years. In this article, we provide an …
and has attracted significant advancements over the years. In this article, we provide an …
Editing-based SQL query generation for cross-domain context-dependent questions
We focus on the cross-domain context-dependent text-to-SQL generation task. Based on the
observation that adjacent natural language questions are often linguistically dependent and …
observation that adjacent natural language questions are often linguistically dependent and …
Selective demonstrations for cross-domain text-to-SQL
S Chang, E Fosler-Lussier - arXiv preprint arXiv:2310.06302, 2023 - arxiv.org
Large language models (LLMs) with in-context learning have demonstrated impressive
generalization capabilities in the cross-domain text-to-SQL task, without the use of in …
generalization capabilities in the cross-domain text-to-SQL task, without the use of in …
Asking clarification questions in knowledge-based question answering
The ability to ask clarification questions is essential for knowledge-based question
answering (KBQA) systems, especially for handling ambiguous phenomena. Despite its …
answering (KBQA) systems, especially for handling ambiguous phenomena. Despite its …
Reinforced dynamic reasoning for conversational question generation
This paper investigates a new task named Conversational Question Generation (CQG)
which is to generate a question based on a passage and a conversation history (ie, previous …
which is to generate a question based on a passage and a conversation history (ie, previous …