5 citations · 13 across the 7 of their papers we have counts for
9 papers
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder
Fangyu Lei, Shizhu He, Xiang Li +2
In the real-world question answering scenarios, hybrid form combining both tabular and textual contents has attracted more and more attention, among which numerical reasoning probl…
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains
Minjun Zhu, Yixuan Weng, Shizhu He +2
The ability of reasoning over evidence has received increasing attention in question answering (QA). Recently, natural language database (NLDB) conducts complex QA in knowledge bas…
Lifelong Intent Detection via Multi-Strategy Rebalancing
Qingbin Liu, Xiaoyan Yu, Shizhu He +2
Conventional Intent Detection (ID) models are usually trained offline, which relies on a fixed dataset and a predefined set of intent classes. However, in real-world applications,…
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
Yinyu Lan, Shizhu He, Xiangrong Zeng +3
Background Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (Med…
Pre-trained Language Model Based Active Learning for Sentence Matching
Guirong Bai, Shizhu He, Kang Liu +2
Active learning is able to significantly reduce the annotation cost for data-driven techniques. However, previous active learning approaches for natural language processing mainly…
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Cao Liu, Kang Liu, Shizhu He +2
We tackle the task of question generation over knowledge bases. Conventional methods for this task neglect two crucial research issues: 1) the given predicate needs to be expressed…