CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks Article Swipe
Chau Nguyen
,
Phuong Tuyet Nguyen
,
Thanh Tran
,
Dat Quoc Nguyen
,
An Trieu
,
Tin Pham
,
Anh Kim Dang
,
Le-Minh Nguyen
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2401.03551
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2401.03551
The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts. Processing legal documents is challenging due to the intricate structure and meaning of legal language. In this paper, we outline our strategies for tackling Task 2, Task 3, and Task 4 in the COLIEE 2023 competition. Our approach involved utilizing appropriate state-of-the-art deep learning methods, designing methods based on domain characteristics observation, and applying meticulous engineering practices and methodologies to the competition. As a result, our performance in these tasks has been outstanding, with first places in Task 2 and Task 3, and promising results in Task 4. Our source code is available at https://github.com/Nguyen2015/CAPTAIN-COLIEE2023/tree/coliee2023.
Related Topics
Concepts
Task (project management)
Computer science
Domain (mathematical analysis)
Competition (biology)
Artificial intelligence
Code (set theory)
Textual entailment
Information extraction
Meaning (existential)
Logical consequence
Natural language processing
Source code
Data science
Engineering
Programming language
Psychology
Mathematical analysis
Systems engineering
Psychotherapist
Mathematics
Biology
Ecology
Set (abstract data type)
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2401.03551
- https://arxiv.org/pdf/2401.03551
- OA Status
- green
- Cited By
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390722522
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4390722522Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2401.03551Digital Object Identifier
- Title
-
CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment TasksWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-07Full publication date if available
- Authors
-
Chau Nguyen, Phuong Tuyet Nguyen, Thanh Tran, Dat Quoc Nguyen, An Trieu, Tin Pham, Anh Kim Dang, Le-Minh NguyenList of authors in order
- Landing page
-
https://arxiv.org/abs/2401.03551Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2401.03551Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2401.03551Direct OA link when available
- Concepts
-
Task (project management), Computer science, Domain (mathematical analysis), Competition (biology), Artificial intelligence, Code (set theory), Textual entailment, Information extraction, Meaning (existential), Logical consequence, Natural language processing, Source code, Data science, Engineering, Programming language, Psychology, Mathematical analysis, Systems engineering, Psychotherapist, Mathematics, Biology, Ecology, Set (abstract data type)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4390722522 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2401.03551 |
| ids.doi | https://doi.org/10.48550/arxiv.2401.03551 |
| ids.openalex | https://openalex.org/W4390722522 |
| fwci | |
| type | preprint |
| title | CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T13643 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9929999709129333 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3320 |
| topics[0].subfield.display_name | Political Science and International Relations |
| topics[0].display_name | Artificial Intelligence in Law |
| topics[1].id | https://openalex.org/T10028 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9812999963760376 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Topic Modeling |
| topics[2].id | https://openalex.org/T10181 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9783999919891357 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Natural Language Processing Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2780451532 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7847288846969604 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[0].display_name | Task (project management) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7276896238327026 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C36503486 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5452539920806885 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11235244 |
| concepts[2].display_name | Domain (mathematical analysis) |
| concepts[3].id | https://openalex.org/C91306197 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5399274230003357 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q45767 |
| concepts[3].display_name | Competition (biology) |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5219703912734985 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C2776760102 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5176987648010254 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q5139990 |
| concepts[5].display_name | Code (set theory) |
| concepts[6].id | https://openalex.org/C95318506 |
| concepts[6].level | 3 |
| concepts[6].score | 0.5173015594482422 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q6588467 |
| concepts[6].display_name | Textual entailment |
| concepts[7].id | https://openalex.org/C195807954 |
| concepts[7].level | 2 |
| concepts[7].score | 0.516613781452179 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1662562 |
| concepts[7].display_name | Information extraction |
| concepts[8].id | https://openalex.org/C2780876879 |
| concepts[8].level | 2 |
| concepts[8].score | 0.5121276378631592 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3054749 |
| concepts[8].display_name | Meaning (existential) |
| concepts[9].id | https://openalex.org/C134752490 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4722385108470917 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q374182 |
| concepts[9].display_name | Logical consequence |
| concepts[10].id | https://openalex.org/C204321447 |
| concepts[10].level | 1 |
| concepts[10].score | 0.45459890365600586 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[10].display_name | Natural language processing |
| concepts[11].id | https://openalex.org/C43126263 |
| concepts[11].level | 2 |
| concepts[11].score | 0.43526729941368103 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q128751 |
| concepts[11].display_name | Source code |
| concepts[12].id | https://openalex.org/C2522767166 |
| concepts[12].level | 1 |
| concepts[12].score | 0.33019083738327026 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[12].display_name | Data science |
| concepts[13].id | https://openalex.org/C127413603 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0945790708065033 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[13].display_name | Engineering |
| concepts[14].id | https://openalex.org/C199360897 |
| concepts[14].level | 1 |
| concepts[14].score | 0.09002906084060669 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[14].display_name | Programming language |
| concepts[15].id | https://openalex.org/C15744967 |
| concepts[15].level | 0 |
| concepts[15].score | 0.07233333587646484 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[15].display_name | Psychology |
| concepts[16].id | https://openalex.org/C134306372 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[16].display_name | Mathematical analysis |
| concepts[17].id | https://openalex.org/C201995342 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q682496 |
| concepts[17].display_name | Systems engineering |
| concepts[18].id | https://openalex.org/C542102704 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q183257 |
| concepts[18].display_name | Psychotherapist |
| concepts[19].id | https://openalex.org/C33923547 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[19].display_name | Mathematics |
| concepts[20].id | https://openalex.org/C86803240 |
| concepts[20].level | 0 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[20].display_name | Biology |
| concepts[21].id | https://openalex.org/C18903297 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[21].display_name | Ecology |
| concepts[22].id | https://openalex.org/C177264268 |
| concepts[22].level | 2 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[22].display_name | Set (abstract data type) |
| keywords[0].id | https://openalex.org/keywords/task |
| keywords[0].score | 0.7847288846969604 |
| keywords[0].display_name | Task (project management) |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7276896238327026 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/domain |
| keywords[2].score | 0.5452539920806885 |
| keywords[2].display_name | Domain (mathematical analysis) |
| keywords[3].id | https://openalex.org/keywords/competition |
| keywords[3].score | 0.5399274230003357 |
| keywords[3].display_name | Competition (biology) |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.5219703912734985 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/code |
| keywords[5].score | 0.5176987648010254 |
| keywords[5].display_name | Code (set theory) |
| keywords[6].id | https://openalex.org/keywords/textual-entailment |
| keywords[6].score | 0.5173015594482422 |
| keywords[6].display_name | Textual entailment |
| keywords[7].id | https://openalex.org/keywords/information-extraction |
| keywords[7].score | 0.516613781452179 |
| keywords[7].display_name | Information extraction |
| keywords[8].id | https://openalex.org/keywords/meaning |
| keywords[8].score | 0.5121276378631592 |
| keywords[8].display_name | Meaning (existential) |
| keywords[9].id | https://openalex.org/keywords/logical-consequence |
| keywords[9].score | 0.4722385108470917 |
| keywords[9].display_name | Logical consequence |
| keywords[10].id | https://openalex.org/keywords/natural-language-processing |
| keywords[10].score | 0.45459890365600586 |
| keywords[10].display_name | Natural language processing |
| keywords[11].id | https://openalex.org/keywords/source-code |
| keywords[11].score | 0.43526729941368103 |
| keywords[11].display_name | Source code |
| keywords[12].id | https://openalex.org/keywords/data-science |
| keywords[12].score | 0.33019083738327026 |
| keywords[12].display_name | Data science |
| keywords[13].id | https://openalex.org/keywords/engineering |
| keywords[13].score | 0.0945790708065033 |
| keywords[13].display_name | Engineering |
| keywords[14].id | https://openalex.org/keywords/programming-language |
| keywords[14].score | 0.09002906084060669 |
| keywords[14].display_name | Programming language |
| keywords[15].id | https://openalex.org/keywords/psychology |
| keywords[15].score | 0.07233333587646484 |
| keywords[15].display_name | Psychology |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2401.03551 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | |
| locations[0].pdf_url | https://arxiv.org/pdf/2401.03551 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2401.03551 |
| locations[1].id | doi:10.48550/arxiv.2401.03551 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2401.03551 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5101875400 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0068-0387 |
| authorships[0].author.display_name | Chau Nguyen |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Nguyen, Chau |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5041697858 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6571-5694 |
| authorships[1].author.display_name | Phuong Tuyet Nguyen |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Nguyen, Phuong |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5032785756 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-8262-2414 |
| authorships[2].author.display_name | Thanh Tran |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Tran, Thanh |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5063933953 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8214-2878 |
| authorships[3].author.display_name | Dat Quoc Nguyen |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Nguyen, Dat |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5046944263 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | An Trieu |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Trieu, An |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5114117049 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Tin Pham |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Pham, Tin |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5017788401 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-6816-1148 |
| authorships[6].author.display_name | Anh Kim Dang |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Dang, Anh |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5077641909 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-2265-1010 |
| authorships[7].author.display_name | Le-Minh Nguyen |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Nguyen, Le-Minh |
| authorships[7].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2401.03551 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2024-01-13T00:00:00 |
| display_name | CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T13643 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9929999709129333 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3320 |
| primary_topic.subfield.display_name | Political Science and International Relations |
| primary_topic.display_name | Artificial Intelligence in Law |
| related_works | https://openalex.org/W2169644218, https://openalex.org/W12963412, https://openalex.org/W2250460949, https://openalex.org/W3158371345, https://openalex.org/W3141423438, https://openalex.org/W2071098659, https://openalex.org/W2627035043, https://openalex.org/W4385571113, https://openalex.org/W2937401546, https://openalex.org/W3030695269 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2401.03551 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2401.03551 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2401.03551 |
| primary_location.id | pmh:oai:arXiv.org:2401.03551 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2401.03551 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2401.03551 |
| publication_date | 2024-01-07 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.2 | 98 |
| abstract_inverted_index.4 | 50 |
| abstract_inverted_index.a | 83 |
| abstract_inverted_index.2, | 45 |
| abstract_inverted_index.3, | 47, 101 |
| abstract_inverted_index.4. | 107 |
| abstract_inverted_index.As | 82 |
| abstract_inverted_index.In | 35 |
| abstract_inverted_index.at | 113 |
| abstract_inverted_index.in | 13, 51, 87, 96, 105 |
| abstract_inverted_index.is | 7, 23, 111 |
| abstract_inverted_index.of | 17, 32 |
| abstract_inverted_index.on | 2, 68 |
| abstract_inverted_index.to | 10, 26, 79 |
| abstract_inverted_index.we | 38 |
| abstract_inverted_index.Our | 56, 108 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 30, 48, 72, 77, 99, 102 |
| abstract_inverted_index.due | 25 |
| abstract_inverted_index.for | 42 |
| abstract_inverted_index.has | 90 |
| abstract_inverted_index.our | 40, 85 |
| abstract_inverted_index.the | 14, 27, 52, 80 |
| abstract_inverted_index.2023 | 54 |
| abstract_inverted_index.Task | 44, 46, 49, 97, 100, 106 |
| abstract_inverted_index.been | 91 |
| abstract_inverted_index.code | 110 |
| abstract_inverted_index.deep | 62 |
| abstract_inverted_index.held | 8 |
| abstract_inverted_index.this | 36 |
| abstract_inverted_index.with | 93 |
| abstract_inverted_index.Legal | 3 |
| abstract_inverted_index.based | 67 |
| abstract_inverted_index.first | 94 |
| abstract_inverted_index.legal | 18, 21, 33 |
| abstract_inverted_index.tasks | 89 |
| abstract_inverted_index.these | 88 |
| abstract_inverted_index.COLIEE | 53 |
| abstract_inverted_index.domain | 69 |
| abstract_inverted_index.paper, | 37 |
| abstract_inverted_index.places | 95 |
| abstract_inverted_index.source | 109 |
| abstract_inverted_index.texts. | 19 |
| abstract_inverted_index.meaning | 31 |
| abstract_inverted_index.methods | 66 |
| abstract_inverted_index.outline | 39 |
| abstract_inverted_index.result, | 84 |
| abstract_inverted_index.results | 104 |
| abstract_inverted_index.(COLIEE) | 6 |
| abstract_inverted_index.annually | 9 |
| abstract_inverted_index.applying | 73 |
| abstract_inverted_index.approach | 57 |
| abstract_inverted_index.involved | 58 |
| abstract_inverted_index.learning | 63 |
| abstract_inverted_index.methods, | 64 |
| abstract_inverted_index.tackling | 43 |
| abstract_inverted_index.automatic | 15 |
| abstract_inverted_index.available | 112 |
| abstract_inverted_index.designing | 65 |
| abstract_inverted_index.documents | 22 |
| abstract_inverted_index.encourage | 11 |
| abstract_inverted_index.intricate | 28 |
| abstract_inverted_index.language. | 34 |
| abstract_inverted_index.practices | 76 |
| abstract_inverted_index.promising | 103 |
| abstract_inverted_index.structure | 29 |
| abstract_inverted_index.utilizing | 59 |
| abstract_inverted_index.Processing | 20 |
| abstract_inverted_index.meticulous | 74 |
| abstract_inverted_index.processing | 16 |
| abstract_inverted_index.strategies | 41 |
| abstract_inverted_index.Competition | 1 |
| abstract_inverted_index.Information | 4 |
| abstract_inverted_index.appropriate | 60 |
| abstract_inverted_index.challenging | 24 |
| abstract_inverted_index.engineering | 75 |
| abstract_inverted_index.performance | 86 |
| abstract_inverted_index.advancements | 12 |
| abstract_inverted_index.competition. | 55, 81 |
| abstract_inverted_index.observation, | 71 |
| abstract_inverted_index.outstanding, | 92 |
| abstract_inverted_index.methodologies | 78 |
| abstract_inverted_index.characteristics | 70 |
| abstract_inverted_index.state-of-the-art | 61 |
| abstract_inverted_index.Extraction/Entailment | 5 |
| abstract_inverted_index.https://github.com/Nguyen2015/CAPTAIN-COLIEE2023/tree/coliee2023. | 114 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile |