• No results found

Initializing neural networks for hierarchical multi label text classification

N/A
N/A
Protected

Academic year: 2020

Share "Initializing neural networks for hierarchical multi label text classification"

Copied!
9
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: Hierarchical multi-label classification.Nodes represent possible labels that can be as-signed to text: a dark grey node denotes an explicitlabel assignment and light grey denotes implicitassignment due to a hypernymy relationship withthe explicitly assigned label.
Table 1: Our baseline model, based on Kim (2014)model hyperparameters.
Figure 2: Convolutional Neural Network (CNN) architecture with the initialization layer outlined
Figure 4: Illustrating post-processing label correction, with (A) showing the output prediction from theneural network model, (B) applying transitive correction, (C) applying retractive correction.
+2

References

Related documents

ARAMIS offers a process- oriented approach for the evolution and evaluation of software systems that relies on a run-time monitoring infrastructure to reconstruct the behavior of

SL @ SL @ Supporting Career P CDC Works N dit Noncredit Nontradition Helping Parent’s Un Help students with area Prepare students for acce. Demystify CC’s CC s Pathway Programs

Prior to the introduction or scale up of cervical cancer prevention programs, socio-cultural barriers and health service related factors that influence health seeking behavior must

Our approach is to apply statistical cluster analysis algorithms to EHR data to find clusters (which we call cohorts) of similar patients which are relevant to a target patient..

As a case study, SACSEA has been applied to seven software projects in order to answer four research questions regarding the lifespan of code smells and the refactoring behaviour

We use the version control system, the issue tracking system and the project documentation archives as data sources for additional information.. We join this additional information

Pepejal 1 (MMP1 )yang dihasilkan, tidak bersifat kebolehlaksanaan (feasible) dalam membantu pensyarah menyampaikan konsep dengan berkesan kepada pelajar. Sejauhmanakah

The red lines indicate the position of the wrist over the entire trial in which the participant was gesturing ‘bird’, and the orange squares represent the volume of the gesture