Coreference
Go back to the Sentence Object.
Coreference Object
KEY | TYPE | DESCRIPTION | CONSTRAINTS |
---|---|---|---|
source | string | source word that makes the coreference query | - |
index | int | index of the source word | index >= 0 |
precision | float | precision indices based on how the algorithm found the coreference. Higher is better | 0 <= precision <= 1 |
reference | Reference Object | describes the best match for the coreference query |
Reference Object
KEY | TYPE | DESCRIPTION | CONSTRAINTS |
---|---|---|---|
source | string | source word of the reference object | - |
lemma | string | lemma of the reference | - |
id | int | database id of the reference | id > 0. Unique for each reference object created |
category | list of string | reference's categories | - |
category_parent | list of string | parent categories of reference's categories |
- Python
- JSON
[
{
"index": 0,
"precision": 0.3,
"reference":
{
"category":
[
"human"
],
"category_parent":
[
"PERSON"
],
"id": 0,
"lemma": "USER",
"source": "USER"
},
"source": "je"
},
{
"index": 1,
"precision": 0.6,
"reference":
{
"category":
[
"dog"
],
"category_parent":
[
"ANIMAL"
],
"id": 179,
"lemma": "chien",
"source": "chien"
},
"source": "le"
}
]
[
{
"index": 0,
"precision": 0.3,
"reference": {
"category": ["human"],
"category_parent": ["PERSON"],
"id": 0,
"lemma": "USER",
"source": "USER"
},
"source": "je"
},
{
"index": 1,
"precision": 0.6,
"reference": {
"category": ["dog"],
"category_parent": ["ANIMAL"],
"id": 179,
"lemma": "chien",
"source": "chien"
},
"source": "le"
}
]