DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Empirical results show that DocRED is challenging for existing RE methods, which indicates that document-level RE remains an open problem and requires further efforts.
Performance and Reliability Analysis of IEEE 802.11p Safety Communication in a Highway Environment
This paper focuses on the analysis of the 802.11p safety-critical broadcast on the CCH in a VANET environment and improves the existing work by taking several aspects into design consideration and extensive performance evaluations based on the NS-2 simulator help to validate the accuracy of the proposed model.
Proteomic identification of differentially expressed proteins in the Ligon lintless mutant of upland cotton (Gossypium hirsutum L.).
A comparative proteomic analysis between a short-lint fiber mutant and its wild-type was performed to identify fiber elongation-related proteins, indicating that the deficiency of fiber cell elongation was related to ER stress.
Sparse Principal Component Thermography for Subsurface Defect Detection in Composite Products
- Jin-Yi Wu, S. Sfarra, Yuan Yao
- Materials ScienceIEEE Transactions on Industrial Informatics
- 20 March 2018
A sparse principal component thermography (SPCT) method is proposed, which inherits the advantages of PCT and allows more flexibility by introducing a penalization term, and provides more interpretable analysis results owing to its structure sparsity.
Commit Message Generation for Source Code Changes
- Shengbin Xu, Yuan Yao, F. Xu, Tianxiao Gu, Hanghang Tong, Jian Lu
- Computer ScienceInternational Joint Conference on Artificial…
This paper first extracts both code structure and code semantics from the source code changes, and then jointly model these two sources of information so as to better learn the representations of the code changes.
Quantifying the Water-Energy-Food Nexus: Current Status and Trends
Water, energy, and food are lifelines for modern societies. The continuously rising world population, growing desires for higher living standards, and inextricable links among the three sectors make…
Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk
The computational results show the effectiveness of the proposed strategy for optimal design of hydrocarbon biorefinery supply chain under the presence of uncertainties.
Effect of sourdough fermentation on the quality of Chinese Northern-style steamed breads
MATRI: a multi-aspect and transitive trust inference model
The heart of the method is to view the problem as a recommendation problem, and hence opens the door to the rich methodologies in the field of collaborative filtering, and the proposed multi-aspect model directly characterizes multiple latent factors for each trustor and trustee from the locally-generated trust relationships.