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Found 10 papers, 3 papers with code
A Two Dimensional Feature Engineering Method for Relation Extraction
The results indicate that two-dimensional feature engineering can take advantage of a two-dimensional sentence representation and make full use of prior knowledge in traditional feature engineering.
A Bi-consolidating Model for Joint Relational Triple Extraction
In this paper, based on a two-dimensional sentence representation, a bi-consolidating model is proposed to address this problem by simultaneously reinforcing the local and global semantic features relevant to a relation triple.
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation
Deep learning models have shown promising performance for cell nucleus segmentation in the field of pathology image analysis.
Annotation of Chinese Predicate Heads and Relevant Elements
This annotation guideline emphasizes the role of the predicate as the structural center of a sentence.
Spectral computation of low probability tails for the homogeneous Boltzmann equation
We then demonstrate how to choose $g_{\text{tr}}$ and the numerical discretization parameters so that the computation of the truncated collision operator is a good approximation to $Q$ in the low probability tails.
Numerical Analysis Numerical Analysis 35Q20 35R09 82C40 82D10 65Z05
A Boundary Regression Model for Nested Named Entity Recognition
Then, a regression operation is introduced to regress boundaries of NEs in a sentence.
An Event Network for Exploring Open Information
The process is divided into three steps: document event detection, event network construction and event network analysis.
Flying Insect Classification with Inexpensive Sensors
The ability to use inexpensive, noninvasive sensors to accurately classify flying insects would have significant implications for entomological research, and allow for the development of many useful applications in vector control for both medical and agricultural entomology.
