Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction Article Swipe
Nguyễn Hoàng Ánh
,
Quyen Tran
,
Thanh Xuân Nguyễn
,
Nguyen Thi Ngoc Diep
,
Linh Ngo Van
,
Thien Huu Nguyen
,
Trung Le
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.naacl-long.205
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.naacl-long.205
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2025.naacl-long.205
- https://aclanthology.org/2025.naacl-long.205.pdf
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411119687
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411119687Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2025.naacl-long.205Digital Object Identifier
- Title
-
Mutual-pairing Data Augmentation for Fewshot Continual Relation ExtractionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Nguyễn Hoàng Ánh, Quyen Tran, Thanh Xuân Nguyễn, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung LeList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2025.naacl-long.205Publisher landing page
- PDF URL
-
https://aclanthology.org/2025.naacl-long.205.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2025.naacl-long.205.pdfDirect OA link when available
- Concepts
-
Relation (database), Pairing, Computer science, Extraction (chemistry), Relationship extraction, Data mining, Chemistry, Physics, Superconductivity, Quantum mechanics, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411119687 |
|---|---|
| doi | https://doi.org/10.18653/v1/2025.naacl-long.205 |
| ids.doi | https://doi.org/10.18653/v1/2025.naacl-long.205 |
| ids.openalex | https://openalex.org/W4411119687 |
| fwci | 0.0 |
| type | article |
| title | Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 4075 |
| biblio.first_page | 4057 |
| topics[0].id | https://openalex.org/T10181 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9192000031471252 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Natural Language Processing Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C25343380 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6323342323303223 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q277521 |
| concepts[0].display_name | Relation (database) |
| concepts[1].id | https://openalex.org/C14103023 |
| concepts[1].level | 3 |
| concepts[1].score | 0.617302417755127 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11681459 |
| concepts[1].display_name | Pairing |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.594801127910614 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C4725764 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5003170967102051 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q844704 |
| concepts[3].display_name | Extraction (chemistry) |
| concepts[4].id | https://openalex.org/C153604712 |
| concepts[4].level | 3 |
| concepts[4].score | 0.49454185366630554 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7310755 |
| concepts[4].display_name | Relationship extraction |
| concepts[5].id | https://openalex.org/C124101348 |
| concepts[5].level | 1 |
| concepts[5].score | 0.2866325378417969 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[5].display_name | Data mining |
| concepts[6].id | https://openalex.org/C185592680 |
| concepts[6].level | 0 |
| concepts[6].score | 0.10043489933013916 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[6].display_name | Chemistry |
| concepts[7].id | https://openalex.org/C121332964 |
| concepts[7].level | 0 |
| concepts[7].score | 0.057998985052108765 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[7].display_name | Physics |
| concepts[8].id | https://openalex.org/C54101563 |
| concepts[8].level | 2 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q124131 |
| concepts[8].display_name | Superconductivity |
| concepts[9].id | https://openalex.org/C62520636 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[9].display_name | Quantum mechanics |
| concepts[10].id | https://openalex.org/C43617362 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[10].display_name | Chromatography |
| keywords[0].id | https://openalex.org/keywords/relation |
| keywords[0].score | 0.6323342323303223 |
| keywords[0].display_name | Relation (database) |
| keywords[1].id | https://openalex.org/keywords/pairing |
| keywords[1].score | 0.617302417755127 |
| keywords[1].display_name | Pairing |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.594801127910614 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/extraction |
| keywords[3].score | 0.5003170967102051 |
| keywords[3].display_name | Extraction (chemistry) |
| keywords[4].id | https://openalex.org/keywords/relationship-extraction |
| keywords[4].score | 0.49454185366630554 |
| keywords[4].display_name | Relationship extraction |
| keywords[5].id | https://openalex.org/keywords/data-mining |
| keywords[5].score | 0.2866325378417969 |
| keywords[5].display_name | Data mining |
| keywords[6].id | https://openalex.org/keywords/chemistry |
| keywords[6].score | 0.10043489933013916 |
| keywords[6].display_name | Chemistry |
| keywords[7].id | https://openalex.org/keywords/physics |
| keywords[7].score | 0.057998985052108765 |
| keywords[7].display_name | Physics |
| language | en |
| locations[0].id | doi:10.18653/v1/2025.naacl-long.205 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aclanthology.org/2025.naacl-long.205.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) |
| locations[0].landing_page_url | https://doi.org/10.18653/v1/2025.naacl-long.205 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5068372747 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Nguyễn Hoàng Ánh |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Nguyen Hoang Anh |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5061474452 |
| authorships[1].author.orcid | https://orcid.org/0009-0001-9420-0024 |
| authorships[1].author.display_name | Quyen Tran |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Quyen Tran |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5080191697 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3838-6300 |
| authorships[2].author.display_name | Thanh Xuân Nguyễn |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Thanh Xuan Nguyen |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5107832640 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Nguyen Thi Ngoc Diep |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Nguyen Thi Ngoc Diep |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5022485068 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0011-5137 |
| authorships[4].author.display_name | Linh Ngo Van |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Linh Ngo Van |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5026113034 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-3768-4736 |
| authorships[5].author.display_name | Thien Huu Nguyen |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Thien Huu Nguyen |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5103134401 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2271-7486 |
| authorships[6].author.display_name | Trung Le |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Trung Le |
| authorships[6].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aclanthology.org/2025.naacl-long.205.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10181 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9192000031471252 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Natural Language Processing Techniques |
| related_works | https://openalex.org/W2976808399, https://openalex.org/W2609844752, https://openalex.org/W4392969631, https://openalex.org/W4285246823, https://openalex.org/W4226278302, https://openalex.org/W4221160509, https://openalex.org/W2547211086, https://openalex.org/W2538200646, https://openalex.org/W1968988659, https://openalex.org/W2888033806 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.18653/v1/2025.naacl-long.205 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aclanthology.org/2025.naacl-long.205.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) |
| best_oa_location.landing_page_url | https://doi.org/10.18653/v1/2025.naacl-long.205 |
| primary_location.id | doi:10.18653/v1/2025.naacl-long.205 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aclanthology.org/2025.naacl-long.205.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) |
| primary_location.landing_page_url | https://doi.org/10.18653/v1/2025.naacl-long.205 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.09183164 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |