From 23d5b4ff5b113cfcbe7cce5230a816e6a16ec2f2 Mon Sep 17 00:00:00 2001
From: Ines Montani <ines@ines.io>
Date: Sat, 13 Oct 2018 23:53:33 +0200
Subject: [PATCH] Update docs for new version [ci skip]

---
 website/api/cli.jade      |  1 +
 website/api/span.jade     | 24 ++++++++++++++++++++++++
 website/models/_data.json | 13 ++-----------
 3 files changed, 27 insertions(+), 11 deletions(-)

diff --git a/website/api/cli.jade b/website/api/cli.jade
index dcc1a0551..28c76c09c 100644
--- a/website/api/cli.jade
+++ b/website/api/cli.jade
@@ -346,6 +346,7 @@ p
 
     +row
         +cell #[code --verbose]
+            +tag-new("2.0.13")
         +cell flag
         +cell Show more detail message during training.
 
diff --git a/website/api/span.jade b/website/api/span.jade
index 681664269..7be1ad4a4 100644
--- a/website/api/span.jade
+++ b/website/api/span.jade
@@ -349,6 +349,30 @@ p Retokenize the document, such that the span is merged into a single token.
         +cell #[code Token]
         +cell The newly merged token.
 
++h(2, "ents") Span.ents
+    +tag property
+    +tag-model("NER")
+
+p
+    |  Iterate over the entities in the span. Yields named-entity
+    |  #[code Span] objects, if the entity recognizer has been applied to the
+    |  parent document.
+
++aside-code("Example").
+    doc = nlp(u'Mr. Best flew to New York on Saturday morning.')
+    span = doc[0:6]
+    ents = list(span.ents)
+    assert ents[0].label == 346
+    assert ents[0].label_ == 'PERSON'
+    assert ents[0].text == 'Mr. Best'
+
++table(["Name", "Type", "Description"])
+    +row("foot")
+        +cell yields
+        +cell #[code Span]
+        +cell Entities in the document.
+
+
 +h(2, "as_doc") Span.as_doc
 
 p
diff --git a/website/models/_data.json b/website/models/_data.json
index 4eda2564a..d1f3862f5 100644
--- a/website/models/_data.json
+++ b/website/models/_data.json
@@ -27,17 +27,6 @@
         }
     },
 
-    "comparison": {
-        "title": "Model Comparison",
-        "teaser": "Compare spaCy's statistical models and their accuracy.",
-        "tag": "experimental",
-        "compare_models": true,
-        "default_models": {
-            "model1": "en_core_web_sm",
-            "model2": "en_core_web_lg"
-        }
-    },
-
     "MODELS": {
         "en": ["en_core_web_sm", "en_core_web_md", "en_core_web_lg", "en_vectors_web_lg"],
         "de": ["de_core_news_sm"],
@@ -122,6 +111,8 @@
         "fa": "Persian",
         "ur": "Urdu",
         "tt": "Tatar",
+        "te": "Telugu",
+        "si": "Sinhala",
         "ga": "Irish",
         "bn": "Bengali",
         "hi": "Hindi",