Update model benchmarks
@@ -6,14 +6,14 @@ p
| end-to-end from raw text, with no "gold standard" pre-processing, over
| text from a mix of genres where possible.
-+under-construction
-
+aside("Methodology")
| The evaluation was conducted on raw text with no gold standard
| information. The parser, tagger and entity recognizer were trained on the
| #[+a("https://www.gabormelli.com/RKB/OntoNotes_Corpus") OntoNotes 5]
| corpus, the word vectors on #[+a("http://commoncrawl.org") Common Crawl].
++h(4, "benchmarks-models-english") English
+
+table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
+row
+cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0a5
@@ -46,3 +46,25 @@ p
+cell #[code en_core_web_md] 1.2.1
each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1 GB"]
+cell.u-text-right=data
+
++h(4, "benchmarks-models-spanish") Spanish
+
++table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
+ +row
+ +cell #[+a("/models/es#es_core_web_sm") #[code es_core_web_sm]] 2.0.0a0
+ +cell.u-text-right 2.x
+ +cell.u-text-right neural
+ +cell.u-text-right #[strong 90.1]
+ +cell.u-text-right 89.0
+ +cell.u-text-right #[strong 96.7]
+ +cell.u-text-right #[em n/a]
+ +cell.u-text-right #[strong 36 MB]
+
+ +row("divider")
+ +cell #[code es_core_web_md] 1.1.0
+ each data in ["1.x", "linear", 87.5]
+ +cell.u-text-right=data
+ +cell #[strong 94.2]
+ +cell #[strong 96.7]
+ +cell.u-text-right #[em n/a]
+ +cell.u-text-right 377 MB
