2013
DOI: 10.1007/978-3-319-03437-9_31
|View full text |Cite
|
Sign up to set email alerts
|

Towards a Stepwise Method for Unifying and Reconciling Corporate Names in Public Contracts Metadata: The CORFU Technique

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 11 publications
0
3
0
Order By: Relevance
“…On the other hand, in the field of computational linguistics, it is possible to find pure methods to infer textual patterns like the one presented in [16] to reconcile company names. Foundational language models [17], based on Deep Learning techniques such as transformers [18], have been widely used to perform natural language processing tasks such as text generation and entity recognition.…”
Section: State Of the Artmentioning
confidence: 99%
“…On the other hand, in the field of computational linguistics, it is possible to find pure methods to infer textual patterns like the one presented in [16] to reconcile company names. Foundational language models [17], based on Deep Learning techniques such as transformers [18], have been widely used to perform natural language processing tasks such as text generation and entity recognition.…”
Section: State Of the Artmentioning
confidence: 99%
“…URI comparison [46], that is actually string comparison, is other approach that was used to discover links between similar RDF resources. Moreover, some Linked Data based domains such as e Government, e Health or e Procurement have published works to solve speci¯c mapping problems such as product classi¯cations linking [47,48], the Bioportal, etc.…”
Section: Related Workmentioning
confidence: 99%
“…Free text [32, 37, 41, 43 45, 47, 48] Keywords [32, 37, 39, 43 45, 47, 48] Structural Analysis [32,37,38,40,41,45,47,48] URI comparison [32,37,46] re using and extending existing NLP techniques. Obviously, system traceability can be reached taking advantage of these existing approaches applying pattern matching techniques to link system artifacts.…”
Section: Related Workmentioning
confidence: 99%