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20202023
most citedA Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges

51 citations · 64 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CL2023★ 2 cited

Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4

Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang +5

The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic…

cs.CL2022★ 3 cited

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

Zhenyu Zhang, Bowen Yu, Haiyang Yu +6

Building document-grounded dialogue systems have received growing interest as documents convey a wealth of human knowledge and commonly exist in enterprises. Wherein, how to compre…

cs.CL2021

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

Taolin Zhang, Chengyu Wang, Nan Hu +4

Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained models with relation triples injecting from knowledge graphs to improve language understanding abilities. To…

cs.CL2021★ 8 cited

Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings

Guanglin Niu, Yang Li, Chengguang Tang +6

The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer. Recent approaches attempt to…

cs.CL2020★ 51 cited

A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges

Bin Fu, Yunqi Qiu, Chengguang Tang +3

Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural language questions via well-structured relation information between entities stored in knowled…

cs.CL2020

A Survey on Dialog Management: Recent Advances and Challenges

Yinpei Dai, Huihua Yu, Yixuan Jiang +3

Dialog management (DM) is a crucial component in a task-oriented dialog system. Given the dialog history, DM predicts the dialog state and decides the next action that the dialog a…