Regen docs (#373)
diff --git a/docs/dyn/language_v1.documents.html b/docs/dyn/language_v1.documents.html
index 6f89cbd..9a1abf1 100644
--- a/docs/dyn/language_v1.documents.html
+++ b/docs/dyn/language_v1.documents.html
@@ -76,7 +76,7 @@
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#analyzeEntities">analyzeEntities(body, x__xgafv=None)</a></code></p>
-<p class="firstline">Finds named entities (currently finds proper names) in the text,</p>
+<p class="firstline">Finds named entities (currently proper names and common nouns) in the text</p>
<p class="toc_element">
<code><a href="#analyzeSentiment">analyzeSentiment(body, x__xgafv=None)</a></code></p>
<p class="firstline">Analyzes the sentiment of the provided text.</p>
@@ -89,8 +89,9 @@
<h3>Method Details</h3>
<div class="method">
<code class="details" id="analyzeEntities">analyzeEntities(body, x__xgafv=None)</code>
- <pre>Finds named entities (currently finds proper names) in the text,
-entity types, salience, mentions for each entity, and other properties.
+ <pre>Finds named entities (currently proper names and common nouns) in the text
+along with entity types, salience, mentions for each entity, and
+other properties.
Args:
body: object, The request body. (required)
@@ -133,6 +134,12 @@
{ # Represents a phrase in the text that is a known entity, such as
# a person, an organization, or location. The API associates information, such
# as salience and mentions, with entities.
+ "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
+ #
+ # The salience score for an entity provides information about the
+ # importance or centrality of that entity to the entire document text.
+ # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
+ # salient.
"mentions": [ # The mentions of this entity in the input document. The API currently
# supports proper noun mentions.
{ # Represents a mention for an entity in the text. Currently, proper noun
@@ -145,12 +152,6 @@
"type": "A String", # The type of the entity mention.
},
],
- "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
- #
- # The salience score for an entity provides information about the
- # importance or centrality of that entity to the entire document text.
- # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
- # salient.
"type": "A String", # The entity type.
"name": "A String", # The representative name for the entity.
"metadata": { # Metadata associated with the entity.
@@ -176,6 +177,7 @@
The object takes the form of:
{ # The sentiment analysis request message.
+ "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets.
"document": { # ################################################################ # # Input document. Currently, `analyzeSentiment` only supports English text
# (Document.language="EN").
#
@@ -197,7 +199,6 @@
# details, see https://cloud.google.com/storage/docs/reference-uris.
# NOTE: Cloud Storage object versioning is not supported.
},
- "encodingType": "A String", # The encoding type used by the API to calculate sentence offsets.
}
x__xgafv: string, V1 error format.
@@ -292,16 +293,6 @@
"beginOffset": 42, # The API calculates the beginning offset of the content in the original
# document according to the EncodingType specified in the API request.
},
- "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
- # information on dependency labels, see
- # http://www.aclweb.org/anthology/P13-2017
- "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
- # This is the index of the token which has an arc going to this token.
- # The index is the position of the token in the array of tokens returned
- # by the API method. If this token is a root token, then the
- # `head_token_index` is its own index.
- "label": "A String", # The parse label for the token.
- },
"partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
# are as defined in
# http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
@@ -318,6 +309,16 @@
"voice": "A String", # The grammatical voice.
"mood": "A String", # The grammatical mood.
},
+ "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
+ # information on dependency labels, see
+ # http://www.aclweb.org/anthology/P13-2017
+ "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
+ # This is the index of the token which has an arc going to this token.
+ # The index is the position of the token in the array of tokens returned
+ # by the API method. If this token is a root token, then the
+ # `head_token_index` is its own index.
+ "label": "A String", # The parse label for the token.
+ },
"lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
},
],
@@ -358,6 +359,12 @@
{ # The request message for the text annotation API, which can perform multiple
# analysis types (sentiment, entities, and syntax) in one call.
"encodingType": "A String", # The encoding type used by the API to calculate offsets.
+ "features": { # All available features for sentiment, syntax, and semantic analysis. # The enabled features.
+ # Setting each one to true will enable that specific analysis for the input.
+ "extractDocumentSentiment": True or False, # Extract document-level sentiment.
+ "extractEntities": True or False, # Extract entities.
+ "extractSyntax": True or False, # Extract syntax information.
+ },
"document": { # ################################################################ # # Input document.
#
# Represents the input to API methods.
@@ -378,12 +385,6 @@
# details, see https://cloud.google.com/storage/docs/reference-uris.
# NOTE: Cloud Storage object versioning is not supported.
},
- "features": { # All available features for sentiment, syntax, and semantic analysis. # The enabled features.
- # Setting each one to true will enable that specific analysis for the input.
- "extractDocumentSentiment": True or False, # Extract document-level sentiment.
- "extractEntities": True or False, # Extract entities.
- "extractSyntax": True or False, # Extract syntax information.
- },
}
x__xgafv: string, V1 error format.
@@ -404,16 +405,6 @@
"beginOffset": 42, # The API calculates the beginning offset of the content in the original
# document according to the EncodingType specified in the API request.
},
- "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
- # information on dependency labels, see
- # http://www.aclweb.org/anthology/P13-2017
- "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
- # This is the index of the token which has an arc going to this token.
- # The index is the position of the token in the array of tokens returned
- # by the API method. If this token is a root token, then the
- # `head_token_index` is its own index.
- "label": "A String", # The parse label for the token.
- },
"partOfSpeech": { # Represents part of speech information for a token. Parts of speech # Parts of speech tag for this token.
# are as defined in
# http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
@@ -430,6 +421,16 @@
"voice": "A String", # The grammatical voice.
"mood": "A String", # The grammatical mood.
},
+ "dependencyEdge": { # Represents dependency parse tree information for a token. (For more # Dependency tree parse for this token.
+ # information on dependency labels, see
+ # http://www.aclweb.org/anthology/P13-2017
+ "headTokenIndex": 42, # Represents the head of this token in the dependency tree.
+ # This is the index of the token which has an arc going to this token.
+ # The index is the position of the token in the array of tokens returned
+ # by the API method. If this token is a root token, then the
+ # `head_token_index` is its own index.
+ "label": "A String", # The parse label for the token.
+ },
"lemma": "A String", # [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the token.
},
],
@@ -439,6 +440,12 @@
{ # Represents a phrase in the text that is a known entity, such as
# a person, an organization, or location. The API associates information, such
# as salience and mentions, with entities.
+ "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
+ #
+ # The salience score for an entity provides information about the
+ # importance or centrality of that entity to the entire document text.
+ # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
+ # salient.
"mentions": [ # The mentions of this entity in the input document. The API currently
# supports proper noun mentions.
{ # Represents a mention for an entity in the text. Currently, proper noun
@@ -451,12 +458,6 @@
"type": "A String", # The type of the entity mention.
},
],
- "salience": 3.14, # The salience score associated with the entity in the [0, 1.0] range.
- #
- # The salience score for an entity provides information about the
- # importance or centrality of that entity to the entire document text.
- # Scores closer to 0 are less salient, while scores closer to 1.0 are highly
- # salient.
"type": "A String", # The entity type.
"name": "A String", # The representative name for the entity.
"metadata": { # Metadata associated with the entity.