yamlized: chunking

_data/chunking.yaml

@@ -0,0 +1,12 @@
+- model:    Low supervision
+  authors:  Søgaard and Goldberg
+  year:     2016
+  F1 score: 95.57
+  paper:    Deep multi-task learning with low level tasks supervised at lower layers
+  url:      http://anthology.aclweb.org/P16-2038
+
+- authors:  Suzuki and Isozaki
+  year:     2008
+  F1 score: 95.15
+  paper:    Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data
+  url:      https://aclanthology.info/pdf/P/P08/P08-1076.pdf

chunking.md

@@ -14,9 +14,8 @@ The [Penn Treebank](https://catalog.ldc.upenn.edu/LDC99T42) is typically used fo
 Sections 15-18 are used for training, section 19 for development, and and section 20
 for testing. Models are evaluated based on F1.
 
-| Model           | F1 score  |  Paper / Source |
-| ------------- | :-----:| --- |
-| Low supervision (Søgaard and Goldberg, 2016) | 95.57 | [Deep multi-task learning with low level tasks supervised at lower layers](http://anthology.aclweb.org/P16-2038) |
-| Suzuki and Isozaki (2008) | 95.15 | [Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data](https://aclanthology.info/pdf/P/P08/P08-1076.pdf) | 
+{% include table.html results=site.data.chunking score='F1 score' %}
+
+{% include chart.html results=site.data.chunking score='F1 score' %}
 
 [Go back to the README](README.md)