Multi-hop question generation with knowledge graph-enhanced language model

Multi-hop question generation with knowledge graph-enhanced language model

The task of multi-hop question generation (QG) seeks to generate questions that require a complex reasoning process that spans multiple sentences and answers. Beyond the conventional challenges of what to ask and how to ask, multi-hop QG necessitates sophisticated reasoning from dispersed evidence a...

Saved in:

書目詳細資料
Main Authors:	Li, Zhenping, Cao, Zhen, Li, Pengfei, Zhong, Yong, Li, Shaobo
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Electrical and electronic engineering Multi-Hop Question Generation Graph Neural Network
在線閱讀:	https://hdl.handle.net/10356/169522
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

TOWARDS GENERATING DEEP QUESTIONS FROM TEXT
由: PAN, LIANGMING
出版: (2022)

Multi-hop knowledge base question answering with an iterative sequence matching model
由: LAN, Yunshi, et al.
出版: (2019)

Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference
由: DENG, Yang, et al.
出版: (2024)

Marie and BERT-A knowledge graph embedding based question answering system for chemistry
由: Zhou, Xiaochi, et al.
出版: (2023)

Exploiting Reasoning Chains for Multi-hop Science Question Answering
由: XU, Weiwen, et al.
出版: (2021)

Generating question titles for Stack Overflow from mined code snippets
由: GAO, Zhipeng, et al.
出版: (2020)

Peer-inspired student performance prediction in interactive online question pools with graph neural network
由: LI, Haotian, et al.
出版: (2020)

A unified framework for contextual and factoid question generation
由: DONG, Chenhe, et al.
出版: (2024)

Graph neural networks with multiple prior knowledge for multi-omics data analysis
由: Xiao, Shunxin, et al.
出版: (2023)

Contextualized graph attention network for recommendation with item knowledge graph
由: Liu, Yong, et al.
出版: (2022)

SGSH : Stimulate Large Language Models with skeleton heuristics for knowledge base question generation
由: GUO, Shasha, et al.
出版: (2024)

Neighbor-anchoring adversarial graph neural networks
由: Liu, Zemin, et al.
出版: (2023)

Discriminator-enhanced knowledge-distillation networks
由: Li, Zhenping, et al.
出版: (2023)

Exploring & exploiting high-order graph structure for sparse knowledge graph completion
由: HE, Tao, et al.
出版: (2025)

Segmentation of multi-sentence questions: Towards effective question retrieval in cQA services
由: Wang, K., et al.
出版: (2013)

Learning on heterogeneous graphs using high-order relations
由: Lee, See Hian, et al.
出版: (2021)

Retrieving questions and answers in community-based question answering services
由: WANG KAI
出版: (2011)

Joint learning of answer selection and answer summary generation in community question answering
由: DENG, Yang, et al.
出版: (2020)

The effects of question cues on responses and responders in community question-answering: a goal-framing approach
由: Wu, Qian
出版: (2024)

VISUAL RELATION DRIVEN VIDEO QUESTION ANSWERING
由: XIAO JUNBIN
出版: (2023)

A multi-hierarchical aggregation-based graph convolutional network for industrial knowledge graph embedding towards cognitive intelligent manufacturing
由: Liu, Bufan, et al.
出版: (2024)

Applying semantic analysis to finding similar questions in community question answering systems
由: NGUYEN LE NGUYEN
出版: (2010)

Multi-relation graph summarization
由: Ke, Xiangyu, et al.
出版: (2022)

KGAT: Knowledge Graph Attention Network for Recommendation
由: Xiang Wang, et al.
出版: (2020)

LEARNING-BY-TEACHING ENHANCES RESEARCH QUESTION GENERATION
由: LIM YICK LIANG KAGEN
出版: (2020)

Explainable image recognition with graph-based feature extraction
由: Azam, Basim, et al.
出版: (2025)

Structured encryption for knowledge graphs
由: XUE, Yujie, et al.
出版: (2022)

A survey on neural question generation : Methods, applications, and prospects
由: GUO, Shasha, et al.
出版: (2024)

Learning and Reasoning on Graph for Recommendation
由: Xiang Wang, et al.
出版: (2020)

Learning and Reasoning on Graph for Recommendations
由: Xiang Wang, et al.
出版: (2020)

Discovering high quality answers in community question answering archives using a hierarchy of classifiers
由: Toba, H., et al.
出版: (2014)

AnswerBot: Automated generation of answer summary to developers’ technical questions
由: XU, Bowen, et al.
出版: (2017)

Multi-level cross-view contrastive learning for knowledge-aware recommender system
由: ZOU, Ding, et al.
出版: (2022)

An effective and efficient parallel approach for random graph generation over GPUs
由: Bressan, S., et al.
出版: (2014)

From text question-answering to multimedia QA on web-scale media resources
由: Chua, T.-S., et al.
出版: (2013)

Neighbor-anchoring adversarial graph neural networks
由: LIU, Zemin, et al.
出版: (2023)

LINGUISTICS-INFORMED NATURAL LANGUAGE PROCESSING MODELS
由: MOUAD HAKAM
出版: (2024)

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
由: FENG FULI, et al.
出版: (2020)

Domain-specific cross-language relevant question retrieval
由: XU, Bowen, et al.
出版: (2016)

The knowledge argument, the open question argument, and the moral problem
由: Pelczar, M.
出版: (2011)