ReferenceEntityLinkingLocal: The pipeline for reference entity linking (Local Version, No Internet Connection Required).
ReferenceEntityLinkingOnline: The pipeline for reference entity linking (Online Version, Requires Network for Retrieving Corresponding Reference Articles).
1.For ReferenceEntityLinkingLocal:
Example:
>>> from SciAssist import ReferenceEntityLinkingLocal
>>> pipeline = ReferenceEntityLinkingLocal()
>>> pipeline.predict(
... './sample_papers'
... )
[
{
"reference_key": "0_6|bert: pre-training of deep bidirectional transformers for language understanding",
"cited_references": [
["0_6", "bert: pre-training of deep bidirectional transformers for language understanding"],
["2_11", "bert: pretraining of deep bidirectional transformers for lan-guage understanding"]
]
"cited_number": cited_number
},
// ... Another JSON objects
]
2.For ReferenceEntityLinkingOnline, there are 2 functions: predict(file_dir) and batch_title_to_references(title_list)
2.1 For predict(file_dir):
Example:
[
{
"reference_id": "3f144a0d7ad2d92589f61cf466acc921c6d6a123",
"detail":{
"paperId": "3f144a0d7ad2d92589f61cf466acc921c6d6a123",
"title": "Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach",
"isOpenAccess": true,
"openAccessPdf": {"url": "https://aclanthology.org/D14-1170.pdf", "status": null},
"citationStyles": {"bibtex": "@Misc{None,\n author = {Yue Hu and Xiaojun Wan},\n title = {Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach}\n}\n"},
"authors": [{"authorId": "2108954687", "name": "Yue Hu"}, {"authorId": "145078589", "name": "Xiaojun Wan"}],
"cited_number": 3
}
},
// ... Another JSON objects
]
2.2 For batch_title_to_references(title_list)
Example:
>>> from SciAssist import ReferenceEntityLinkingOnline
>>> pipeline = ReferenceEntityLinkingOnline()
>>> pipeline.batch_title_to_references(
... [
... 'Automatic generation of related work sections in scientific papers: an Optimization Approach',
... 'Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study',
... #... Another Title Strings
... ]
... )
[
{
"reference_id": "3f144a0d7ad2d92589f61cf466acc921c6d6a123",
"detail":{
"paperId": "3f144a0d7ad2d92589f61cf466acc921c6d6a123",
"title": "Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach",
"isOpenAccess": true,
"openAccessPdf": {"url": "https://aclanthology.org/D14-1170.pdf", "status": null},
"citationStyles": {"bibtex": "@Misc{None,\n author = {Yue Hu and Xiaojun Wan},\n title = {Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach}\n}\n"},
"authors": [{"authorId": "2108954687", "name": "Yue Hu"}, {"authorId": "145078589", "name": "Xiaojun Wan"}],
"cited_number": 3
}
},
// ... Another JSON objects
]
Two class:
ReferenceEntityLinkingLocal: The pipeline for reference entity linking (Local Version, No Internet Connection Required).
ReferenceEntityLinkingOnline: The pipeline for reference entity linking (Online Version, Requires Network for Retrieving Corresponding Reference Articles).
1.For ReferenceEntityLinkingLocal: Example:
2.For ReferenceEntityLinkingOnline, there are 2 functions: predict(file_dir) and batch_title_to_references(title_list) 2.1 For predict(file_dir): Example: