Standard NLP Services
Language detection
Detects language of given text.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
language |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=language&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"language" : [ {
"start" : 0,
"end" : 64,
"value" : "en"
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"language" : [ {
"start" : 0,
"end" : 74,
"value" : "ru"
} ]
}
} ]
Sentence detection
Detects boundaries of sentences in a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
sentence |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=sentence&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"sentence" : [ {
"start" : 0,
"end" : 64
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"sentence" : [ {
"start" : 0,
"end" : 74
} ]
}
} ]
Lemmatization
Detects lemma of each word of a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
lemma |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=lemma&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"lemma" : [ {
"start" : 0,
"end" : 3,
"value" : "our"
}, {
"start" : 4,
"end" : 8,
"value" : "kid"
}, {
"start" : 9,
"end" : 15,
"value" : "should"
}, {
"start" : 16,
"end" : 20,
"value" : "grow"
}, {
"start" : 21,
"end" : 23,
"value" : "up"
}, {
"start" : 24,
"end" : 26,
"value" : "in"
}, {
"start" : 27,
"end" : 29,
"value" : "an"
}, {
"start" : 30,
"end" : 37,
"value" : "america"
}, {
"start" : 38,
"end" : 43,
"value" : "where"
}, {
"start" : 44,
"end" : 55,
"value" : "opportunity"
}, {
"start" : 56,
"end" : 58,
"value" : "be"
}, {
"start" : 59,
"end" : 63,
"value" : "real"
}, {
"start" : 63,
"end" : 64,
"value" : ""
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"lemma" : [ {
"start" : 0,
"end" : 8,
"value" : "согласно"
}, {
"start" : 9,
"end" : 21,
"value" : "официальный"
}, {
"start" : 22,
"end" : 30,
"value" : "прогноз"
}, {
"start" : 31,
"end" : 48,
"value" : "минэкономразвития"
}, {
"start" : 48,
"end" : 49,
"value" : ""
}, {
"start" : 50,
"end" : 53,
"value" : "ввп"
}, {
"start" : 54,
"end" : 60,
"value" : "россия"
}, {
"start" : 61,
"end" : 67,
"value" : "падать"
}, {
"start" : 68,
"end" : 70,
"value" : "на"
}, {
"start" : 71,
"end" : 73,
"value" : "3"
}, {
"start" : 73,
"end" : 74,
"value" : ""
} ]
}
} ]
PoS tagging
Detects part of speech tag for each word of a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
pos-token |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=pos-token&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"pos-token" : [ {
"start" : 0,
"end" : 3,
"value" : {
"type" : "penn",
"tag" : "OTHER",
"characters" : [ ]
}
}, {
"start" : 4,
"end" : 8,
"value" : {
"type" : "penn",
"tag" : "NNS",
"characters" : [ ]
}
}, {
"start" : 9,
"end" : 15,
"value" : {
"type" : "penn",
"tag" : "OTHER",
"characters" : [ ]
}
}, {
"start" : 16,
"end" : 20,
"value" : {
"type" : "penn",
"tag" : "VB",
"characters" : [ ]
}
}, {
"start" : 21,
"end" : 23,
"value" : {
"type" : "penn",
"tag" : "OTHER",
"characters" : [ ]
}
}, {
"start" : 24,
"end" : 26,
"value" : {
"type" : "penn",
"tag" : "IN",
"characters" : [ ]
}
}, {
"start" : 27,
"end" : 29,
"value" : {
"type" : "penn",
"tag" : "DT",
"characters" : [ ]
}
}, {
"start" : 30,
"end" : 37,
"value" : {
"type" : "penn",
"tag" : "NNP",
"characters" : [ ]
}
}, {
"start" : 38,
"end" : 43,
"value" : {
"type" : "penn",
"tag" : "OTHER",
"characters" : [ ]
}
}, {
"start" : 44,
"end" : 55,
"value" : {
"type" : "penn",
"tag" : "NN",
"characters" : [ ]
}
}, {
"start" : 56,
"end" : 58,
"value" : {
"type" : "penn",
"tag" : "VBZ",
"characters" : [ ]
}
}, {
"start" : 59,
"end" : 63,
"value" : {
"type" : "penn",
"tag" : "JJ",
"characters" : [ ]
}
}, {
"start" : 63,
"end" : 64,
"value" : {
"type" : "penn",
"tag" : "DOT",
"characters" : [ ]
}
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"pos-token" : [ {
"start" : 0,
"end" : 8,
"value" : {
"type" : "syn-tag-rus",
"tag" : "PR",
"characters" : [ ]
}
}, {
"start" : 9,
"end" : 21,
"value" : {
"type" : "syn-tag-rus",
"tag" : "A",
"characters" : [ {
"type" : "gender",
"tag" : "Masculine"
}, {
"type" : "case",
"tag" : "Dative"
}, {
"type" : "number",
"tag" : "Singular"
} ]
}
}, {
"start" : 22,
"end" : 30,
"value" : {
"type" : "syn-tag-rus",
"tag" : "S",
"characters" : [ {
"type" : "gender",
"tag" : "Masculine"
}, {
"type" : "case",
"tag" : "Dative"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "animacy",
"tag" : "Inanimated"
} ]
}
}, {
"start" : 31,
"end" : 48,
"value" : {
"type" : "syn-tag-rus",
"tag" : "S",
"characters" : [ {
"type" : "gender",
"tag" : "Neuter"
}, {
"type" : "case",
"tag" : "Genitive"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "animacy",
"tag" : "Inanimated"
} ]
}
}, {
"start" : 48,
"end" : 49,
"value" : {
"type" : "syn-tag-rus",
"tag" : "PUNCT",
"characters" : [ ]
}
}, {
"start" : 50,
"end" : 53,
"value" : {
"type" : "syn-tag-rus",
"tag" : "S",
"characters" : [ {
"type" : "gender",
"tag" : "Masculine"
}, {
"type" : "case",
"tag" : "Genitive"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "animacy",
"tag" : "Inanimated"
} ]
}
}, {
"start" : 54,
"end" : 60,
"value" : {
"type" : "syn-tag-rus",
"tag" : "S",
"characters" : [ {
"type" : "gender",
"tag" : "Feminine"
}, {
"type" : "case",
"tag" : "Genitive"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "animacy",
"tag" : "Inanimated"
} ]
}
}, {
"start" : 61,
"end" : 67,
"value" : {
"type" : "syn-tag-rus",
"tag" : "V",
"characters" : [ {
"type" : "person",
"tag" : "Third"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "tense",
"tag" : "NotPast"
}, {
"type" : "mode",
"tag" : "Indicative"
} ]
}
}, {
"start" : 68,
"end" : 70,
"value" : {
"type" : "syn-tag-rus",
"tag" : "PR",
"characters" : [ ]
}
}, {
"start" : 71,
"end" : 73,
"value" : {
"type" : "syn-tag-rus",
"tag" : "S",
"characters" : [ {
"type" : "gender",
"tag" : "Masculine"
}, {
"type" : "case",
"tag" : "Accusative"
}, {
"type" : "number",
"tag" : "Singular"
}, {
"type" : "animacy",
"tag" : "Inanimated"
} ]
}
}, {
"start" : 73,
"end" : 74,
"value" : {
"type" : "syn-tag-rus",
"tag" : "PUNCT",
"characters" : [ ]
}
} ]
}
} ]
Spelling correction
Tries to correct disprints and other spelling errors in a given text. Note: resulting tokens are NOT guaranteed to match input ones because of whitespace errors corrections.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
spelling-correction-token |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=spelling-correction-token&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"spelling-correction-token" : [ {
"start" : 0,
"end" : 3,
"value" : "Our"
}, {
"start" : 4,
"end" : 8,
"value" : "kids"
}, {
"start" : 9,
"end" : 15,
"value" : "should"
}, {
"start" : 16,
"end" : 20,
"value" : "grow"
}, {
"start" : 21,
"end" : 23,
"value" : "up"
}, {
"start" : 24,
"end" : 26,
"value" : "in"
}, {
"start" : 27,
"end" : 29,
"value" : "an"
}, {
"start" : 30,
"end" : 37,
"value" : "America"
}, {
"start" : 38,
"end" : 43,
"value" : "where"
}, {
"start" : 44,
"end" : 55,
"value" : "opportunity"
}, {
"start" : 56,
"end" : 58,
"value" : "is"
}, {
"start" : 59,
"end" : 63,
"value" : "real"
}, {
"start" : 63,
"end" : 64,
"value" : "."
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"spelling-correction-token" : [ {
"start" : 0,
"end" : 8,
"value" : "Согласно"
}, {
"start" : 9,
"end" : 21,
"value" : "официальному"
}, {
"start" : 22,
"end" : 30,
"value" : "прогнозу"
}, {
"start" : 31,
"end" : 48,
"value" : "Минэкономразвития"
}, {
"start" : 48,
"end" : 49,
"value" : ","
}, {
"start" : 50,
"end" : 53,
"value" : "ВВП"
}, {
"start" : 54,
"end" : 60,
"value" : "России"
}, {
"start" : 61,
"end" : 67,
"value" : "упадет"
}, {
"start" : 68,
"end" : 70,
"value" : "на"
}, {
"start" : 71,
"end" : 73,
"value" : "3%"
}, {
"start" : 73,
"end" : 74,
"value" : "."
} ]
}
} ]
Syntactic parsing
Detects syntactic structure for each sentence of a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
syntax-relation |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=syntax-relation&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"syntax-relation" : [ {
"start" : 0,
"end" : 3,
"value" : {
"parent" : {
"start" : 16,
"end" : 20
},
"type" : "advmod"
}
}, {
"start" : 4,
"end" : 8,
"value" : {
"parent" : {
"start" : 16,
"end" : 20
},
"type" : "nsubj"
}
}, {
"start" : 9,
"end" : 15,
"value" : {
"parent" : {
"start" : 16,
"end" : 20
},
"type" : "dep"
}
}, {
"start" : 16,
"end" : 20,
"value" : { }
}, {
"start" : 21,
"end" : 23,
"value" : {
"parent" : {
"start" : 16,
"end" : 20
},
"type" : "advmod"
}
}, {
"start" : 24,
"end" : 26,
"value" : {
"parent" : {
"start" : 16,
"end" : 20
},
"type" : "prep"
}
}, {
"start" : 27,
"end" : 29,
"value" : {
"parent" : {
"start" : 30,
"end" : 37
},
"type" : "det"
}
}, {
"start" : 30,
"end" : 37,
"value" : {
"parent" : {
"start" : 24,
"end" : 26
},
"type" : "pobj"
}
}, {
"start" : 38,
"end" : 43,
"value" : {
"parent" : {
"start" : 59,
"end" : 63
},
"type" : "punct"
}
}, {
"start" : 44,
"end" : 55,
"value" : {
"parent" : {
"start" : 59,
"end" : 63
},
"type" : "nsubj"
}
}, {
"start" : 56,
"end" : 58,
"value" : {
"parent" : {
"start" : 59,
"end" : 63
},
"type" : "cop"
}
}, {
"start" : 59,
"end" : 63,
"value" : {
"parent" : {
"start" : 30,
"end" : 37
},
"type" : "rcmod"
}
}, {
"start" : 63,
"end" : 64,
"value" : {
"parent" : {
"start" : 59,
"end" : 63
},
"type" : "dep"
}
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"syntax-relation" : [ {
"start" : 0,
"end" : 8,
"value" : {
"parent" : {
"start" : 61,
"end" : 67
},
"type" : "обст"
}
}, {
"start" : 9,
"end" : 21,
"value" : {
"parent" : {
"start" : 22,
"end" : 30
},
"type" : "опред"
}
}, {
"start" : 22,
"end" : 30,
"value" : {
"parent" : {
"start" : 0,
"end" : 8
},
"type" : "предл"
}
}, {
"start" : 31,
"end" : 48,
"value" : {
"parent" : {
"start" : 22,
"end" : 30
},
"type" : "квазиагент"
}
}, {
"start" : 48,
"end" : 49,
"value" : {
"parent" : {
"start" : 31,
"end" : 48
},
"type" : "PUNCT"
}
}, {
"start" : 50,
"end" : 53,
"value" : {
"parent" : {
"start" : 61,
"end" : 67
},
"type" : "предик"
}
}, {
"start" : 54,
"end" : 60,
"value" : {
"parent" : {
"start" : 50,
"end" : 53
},
"type" : "квазиагент"
}
}, {
"start" : 61,
"end" : 67,
"value" : { }
}, {
"start" : 68,
"end" : 70,
"value" : {
"parent" : {
"start" : 61,
"end" : 67
},
"type" : "2-компл"
}
}, {
"start" : 71,
"end" : 73,
"value" : {
"parent" : {
"start" : 68,
"end" : 70
},
"type" : "предл"
}
}, {
"start" : 73,
"end" : 74,
"value" : {
"parent" : {
"start" : 71,
"end" : 73
},
"type" : "PUNCT"
}
} ]
}
} ]
Named Entity tagging (English)
Finds all named entities occurences in a given text.
Texterra can finds following named entity classes for English language:
-
DATE
-
LOCATION
-
MONEY
-
ORGANIZATION
-
PERSON
-
TIME
Method and entrypoint
POST nlp |
[ {
"text" : "Our kids should grow up in an America where opportunity is real."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
named-entity |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Our kids should grow up in an America where opportunity is real.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=named-entity&apikey=YOUR_KEY"
[ {
"text" : "Our kids should grow up in an America where opportunity is real.",
"annotations" : {
"named-entity" : [ {
"start" : 30,
"end" : 37,
"value" : {
"type" : "location",
"tag" : "LOCATION"
}
} ]
}
} ]
Named Entity tagging (Russian)
Finds all named entities occurences in a given text.
Texterra can finds following named entity classes for Russian language:
-
PERSON
-
NORP_NATIONALITY
-
NORP_RELIGION
-
NORP_POLITICAL
-
NORP_OTHER
-
FACILITY
-
ORGANIZATION_CORPORATION
-
ORGANIZATION_EDUCATIONAL
-
ORGANIZATION_POLITICAL
-
ORGANIZATION_OTHER
-
GPE_COUNTRY
-
GPE_CITY
-
GPE_STATE_PROVINCE
-
GPE_OTHER
-
LOCATION_RIVER
-
LOCATION_LAKE_SEA_OCEAN
-
LOCATION_REGION
-
LOCATION_CONTINENT
-
LOCATION_OTHER
-
PRODUCT
-
DATE
-
TIME
-
MONEY
-
EVENT
-
PLANT
-
ANIMAL
-
SUBSTANCE
-
DISEASE
-
WORK_OF_ART
-
LANGUAGE
-
GAME
Method and entrypoint
POST nlp |
[ {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
named-entity |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=named-entity&apikey=YOUR_KEY"
[ {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"named-entity" : [ {
"start" : 31,
"end" : 48,
"value" : {
"type" : "bbn",
"tag" : "ORGANIZATION_POLITICAL"
}
}, {
"start" : 54,
"end" : 60,
"value" : {
"type" : "bbn",
"tag" : "GPE_COUNTRY"
}
} ]
}
} ]
Coreference resolution
Detects coreference chains (clusters of the same entity mentions).
Method and entrypoint
POST nlp |
[ {
"text" : "«Мы будем защищать и воздушное пространство, и морскую акваторию, и горный кластер.», — сказал Путин. По его словам, к обеспечению безопасности будут привлечены силы и средства «такие, которые не задействованы при обеспечении безопасности в других регионах РФ»."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
coreference |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"«Мы будем защищать и воздушное пространство, и морскую акваторию, и горный кластер.», — сказал Путин. По его словам, к обеспечению безопасности будут привлечены силы и средства «такие, которые не задействованы при обеспечении безопасности в других регионах РФ».\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=coreference&apikey=YOUR_KEY"
[ {
"text" : "«Мы будем защищать и воздушное пространство, и морскую акваторию, и горный кластер.», — сказал Путин. По его словам, к обеспечению безопасности будут привлечены силы и средства «такие, которые не задействованы при обеспечении безопасности в других регионах РФ».",
"annotations" : {
"coreference" : [ {
"start" : 1,
"end" : 3
}, {
"start" : 95,
"end" : 100,
"value" : {
"start" : 1,
"end" : 3
}
}, {
"start" : 106,
"end" : 109,
"value" : {
"start" : 95,
"end" : 100
}
}, {
"start" : 186,
"end" : 193,
"value" : {
"start" : 106,
"end" : 109
}
}, {
"start" : 258,
"end" : 260,
"value" : {
"start" : 186,
"end" : 193
}
} ]
}
} ]
KB-based NLP Services
Term detection
Extracts not overlapping terms within a given text; term is a textual representation for some concept of the real world.
Method and entrypoint
POST nlp |
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
frame |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=frame&apikey=YOUR_KEY"
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.",
"annotations" : {
"frame" : [ {
"start" : 0,
"end" : 4,
"value" : [ {
"meaning" : {
"kb-name" : "enwiki",
"id" : 21492980
},
"commonness" : 0.44984802431610943
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 1196708
},
"commonness" : 0.016717325227963525
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 10109473
},
"commonness" : 0.03343465045592705
}, {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 759920
},
"commonness" : 0.5
} ]
}, {
"start" : 29,
"end" : 42,
"value" : [ {
"meaning" : {
"kb-name" : "enwiki",
"id" : 50595
},
"commonness" : 1.0
} ]
}, {
"start" : 55,
"end" : 67,
"value" : [ {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 4218249
},
"commonness" : 0.5
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 37428589
},
"commonness" : 0.375
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 2468105
},
"commonness" : 0.0625
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 37852
},
"commonness" : 0.0625
} ]
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"frame" : [ {
"start" : 22,
"end" : 30,
"value" : [ {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 128470
},
"commonness" : 0.4673913043478261
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 12481396
},
"commonness" : 0.25
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 246066
},
"commonness" : 0.25
}, {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 60163
},
"commonness" : 0.03260869565217391
} ]
}, {
"start" : 31,
"end" : 48,
"value" : [ {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 44509
},
"commonness" : 0.8409090909090909
}, {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 4535401
},
"commonness" : 0.1590909090909091
} ]
}, {
"start" : 50,
"end" : 60,
"value" : [ {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 3823761
},
"commonness" : 1.0
} ]
} ]
}
} ]
Word sense disambiguation
Detects the most appropriate meanings (concepts) for terms occurred in a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
disambiguated-phrase |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=disambiguated-phrase&apikey=YOUR_KEY"
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.",
"annotations" : {
"disambiguated-phrase" : [ {
"start" : 29,
"end" : 42,
"value" : {
"kb-name" : "enwiki",
"id" : 50595
}
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"disambiguated-phrase" : [ {
"start" : 22,
"end" : 30,
"value" : {
"kb-name" : "ruwiki",
"id" : 128470
}
}, {
"start" : 31,
"end" : 48,
"value" : {
"kb-name" : "ruwiki",
"id" : 44509
}
}, {
"start" : 50,
"end" : 60,
"value" : {
"kb-name" : "ruwiki",
"id" : 3823761
}
} ]
}
} ]
Key concepts detection
Key concepts are the concepts providing short (conceptual) and informative text description. This service extracts a set of key concepts for a given text.
Method and entrypoint
POST nlp |
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
keyconcepts |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=keyconcepts&apikey=YOUR_KEY"
[ {
"text" : "iMac now supports PCIe-based flash storage, making its Fusion Drive and all-flash storage options up to 50 percent faster than the previous generation.",
"annotations" : {
"keyconcepts" : [ {
"start" : 0,
"end" : 151,
"value" : [ {
"concept" : {
"kb-name" : "enwiki",
"id" : 50595
},
"weight" : 2.0
} ]
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"keyconcepts" : [ {
"start" : 0,
"end" : 74,
"value" : [ {
"concept" : {
"kb-name" : "ruwiki",
"id" : 3823761
},
"weight" : 2.0
}, {
"concept" : {
"kb-name" : "ruwiki",
"id" : 44509
},
"weight" : 1.0
}, {
"concept" : {
"kb-name" : "ruwiki",
"id" : 128470
},
"weight" : 1.0
} ]
} ]
}
} ]
Domain detection
Detects the most appropriate domain for the given text. Currently only 2 specific domains are supported:
-
movie
-
politics
If no domain from this list has been detected, the text is assumed to be no domain, or general domain.
Method and entrypoint
POST nlp |
[ {
"text" : "Both candidates are unable to tell the difference between the Republican Guard and the Revolutionary Guard."
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%."
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
domain |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"Both candidates are unable to tell the difference between the Republican Guard and the Revolutionary Guard.\" }, { \"text\" : \"Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=domain&apikey=YOUR_KEY"
[ {
"text" : "Both candidates are unable to tell the difference between the Republican Guard and the Revolutionary Guard.",
"annotations" : {
"domain" : [ {
"start" : 0,
"end" : 107,
"value" : "politics"
} ]
}
}, {
"text" : "Согласно официальному прогнозу Минэкономразвития, ВВП России упадет на 3%.",
"annotations" : {
"domain" : [ {
"start" : 0,
"end" : 74,
"value" : "general"
} ]
}
} ]
Sentiment analysis Services
Subjectivity detection
Detects whether the given text is subjective or not.
Method and entrypoint
POST nlp |
[ {
"text" : "mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate"
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
subjectivity |
tweet |
Forces texts to be intterpreted as tweets |
required |
Query |
Boolean |
true |
domain |
Specifies domain (auto-detect if not provided) |
optional |
Query |
{general, movie, politics} |
general |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=subjectivity&tweet=true&domain=general&apikey=YOUR_KEY"
[ {
"text" : "mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate",
"annotations" : {
"subjectivity" : [ {
"start" : 0,
"end" : 97
} ]
}
} ]
Sentiment polarity detection
Detects whether the given text has positive, negative or no sentiment.
Method and entrypoint
POST nlp |
[ {
"text" : "mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate"
} ]
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
targetType |
Specifies a desired annotation type in the response |
required |
Query |
Annotation Type |
polarity |
tweet |
Forces texts to be intterpreted as tweets |
required |
Query |
Boolean |
true |
domain |
Specifies domain (auto-detect if not provided) |
optional |
Query |
{general, movie, politics} |
general |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "[ { \"text\" : \"mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate\" } ]" "http://api.ispras.ru/texterra/v1/nlp?targetType=polarity&tweet=true&domain=general&apikey=YOUR_KEY"
[ {
"text" : "mentioning veterens care which Mccain has voted AGAINST - SUPER GOOOOD point Obama+1 #tweetdebate",
"annotations" : {
"polarity" : [ {
"start" : 0,
"end" : 97,
"value" : "POSITIVE"
} ]
}
} ]
Term info Services
Terms and features
Determines if Knowledge base contains the specified terms and computes features of the specified types for them.
Available feature types:
-
term just represents presence of corresponding term in Knowledge base.
-
commonness represents meanings of corresponding term associated with their prior probabilities.
-
info-measure represents corresponding term specificity.
Method and entrypoint
POST representation/terms |
{
"text" : "An economic and tourism boom following statehood brought rapid economic growth to Majuro.",
"annotations" : {
"term-candidate" : [ {
"start" : 16,
"end" : 28
}, {
"start" : 82,
"end" : 88
} ]
}
}
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
featureType |
Specifies types of features required to compute |
required, multiple |
Query |
{term, commonness, info-measure} |
[term, commonness, info-measure] |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: application/json" -d "{ \"text\" : \"An economic and tourism boom following statehood brought rapid economic growth to Majuro.\", \"annotations\" : { \"term-candidate\" : [ { \"start\" : 16, \"end\" : 28 }, { \"start\" : 82, \"end\" : 88 } ] } }" "http://api.ispras.ru/texterra/v1/representation/terms?featureType=term&featureType=commonness&featureType=info-measure&apikey=YOUR_KEY"
{
"text" : "An economic and tourism boom following statehood brought rapid economic growth to Majuro.",
"annotations" : {
"term" : [ {
"start" : 82,
"end" : 88
} ],
"commonness" : [ {
"start" : 82,
"end" : 88,
"value" : [ {
"meaning" : {
"kb-name" : "enwiki",
"id" : 57037
},
"commonness" : 0.9500891265597148
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 7104892
},
"commonness" : 0.049910873440285206
} ]
} ],
"info-measure" : [ {
"start" : 82,
"end" : 88,
"value" : 0.5626880526542664
} ]
}
}
Terms search and features
Determines terms contained in Knowledge base and computes features of the specified types for them.
Available feature types:
-
term just represents presence of corresponding term in Knowledge base.
-
commonness represents meanings of corresponding term associated with their prior probabilities.
-
info-measure represents corresponding term specificity.
Method and entrypoint
POST representation/allTerms |
Heine works in Majuro
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
featureType |
Specifies types of features required to compute |
required, multiple |
Query |
{term, commonness, info-measure} |
[term, commonness, info-measure] |
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XPOST -H "Accept: application/json" -H "Content-Type: text/plain" -d "Heine works in Majuro" "http://api.ispras.ru/texterra/v1/representation/allTerms?featureType=term&featureType=commonness&featureType=info-measure&apikey=YOUR_KEY"
{
"text" : "Heine works in Majuro",
"annotations" : {
"term" : [ {
"start" : 0,
"end" : 5
}, {
"start" : 6,
"end" : 11
}, {
"start" : 6,
"end" : 14
}, {
"start" : 12,
"end" : 14
}, {
"start" : 15,
"end" : 21
} ],
"commonness" : [ {
"start" : 0,
"end" : 5,
"value" : [ {
"meaning" : {
"kb-name" : "enwiki",
"id" : 3119703
},
"commonness" : 0.2751677852348993
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 104641
},
"commonness" : 0.4966442953020134
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 323305
},
"commonness" : 0.22818791946308725
} ]
}, {
"start" : 6,
"end" : 11,
"value" : [ {
"meaning" : {
"kb-name" : "enwiki",
"id" : 1483291
},
"commonness" : 0.003601440576230492
}, {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 5058918
},
"commonness" : 0.15714285714285714
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 491819
},
"commonness" : 0.003001200480192077
}, {
"meaning" : {
"kb-name" : "ruwiki",
"id" : 4042159
},
"commonness" : 0.22857142857142856
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 14885323
},
"commonness" : 0.004801920768307323
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 19389176
},
"commonness" : 0.007202881152460984
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 3830968
},
"commonness" : 0.01020408163265306
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 2583747
},
"commonness" : 0.015606242496998799
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 33663
},
"commonness" : 0.0078031212484993995
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 14212326
},
"commonness" : 0.006602641056422569
}, {
"meaning" : {
"kb-name" : "enwiki",
"id" : 25705777
},
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Concept info Services
Get attributes
Get attributes for concepts.
Method and entrypoint
GET walker/:concepts |
Name | Description | Requirement | Type | Value | Example |
---|---|---|---|---|---|
concepts |
Specifies concepts for which attributes should be provided |
path/matrix parameter, required, multiple |
Path |
id=12:enwiki;id=9:ruwiki |
|
attribute |
Specifies attributes to be included into response. |
optional, multiple |
Query |
title |
|
apikey |
Authorizes to use the service |
required |
Query |
String (40 chars) |
YOUR_KEY |
Responses
curl -XGET -H "Accept: application/json" "http://api.ispras.ru/texterra/v1/walker/id=12:enwiki;id=9:ruwiki?attribute=title&apikey=YOUR_KEY"
{
"9:ruwiki" : {
"title" : "Россия"
},
"12:enwiki" : {
"title" : "Anarchism"
}
}
Data types
Concept Identifier
Represents concept from the Knowledge base.
<id>:<kbname>
<id> - concept id
<kbname> - name of Knowledge base
Attributes
Each concept may be associated with some additional information - attributes.
Supported attribute types:
-
coordinates - GPS coordinates
-
definition - brief concept definition
-
url(<language>) - URL to page with description of the given concept on the specified language
-
<language> - optional language code, like: en, de, fr, ko, ru, …
-
-
synonym - different textual representations of the concept
-
title - concept title
-
translation(<language>) textual representation of the concept on the specified language
-
<language> - language code, like: en, de, fr, ko, ru, …
-
-
type - concept type