7 citations · 13 across the 5 of their papers we have counts for
9 papers
Generating Hierarchical Explanations on Text Classification Without Connecting Rules
Yiming Ju, Yuanzhe Zhang, Kang Liu +1
The opaqueness of deep NLP models has motivated the development of methods for interpreting how deep models predict. Recently, work has introduced hierarchical attribution, which p…
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…
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
Yuancheng Sun, Yimeng Chen, Weizhi Ma +5
Molecular property prediction is essential for drug discovery. In recent years, deep learning methods have been introduced to this area and achieved state-of-the-art performances.…
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…
A New High Energy Efficiency Scheme Based on Two-Dimension Resource Blocks in Wireless Communication Systems
Kang Liu, Zaichen Zhang, Jian Dang +4
Energy efficiency (EE) plays a key role in future wireless communication network and it is easily to achieve high EE performance in low SNR regime. In this paper, a new high EE sch…
SYMBA: An end-to-end VLBI synthetic data generation pipeline
F. Roelofs, M. Janssen, I. Natarajan +203
Realistic synthetic observations of theoretical source models are essential for our understanding of real observational data. In using synthetic data, one can verify the extent to…