| 1 |
Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications
|
|
|
|
In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022)
|
|
Abstract:
International audience ; This article presents an ontological and terminological resource guided process for targeted extraction of scientific experimental data. Our method relies on the scientific publication representation (SciPuRe) describing the extracted data through ontological, lexical and structural (using segments in the scientific documents) features. Relevance scores based on these features are computed to rank the results and filter out the numerous false positives. Linear and sequential combinations of these scores are presented and evaluated. Experiments were carried out on a corpus of 50 English language scientific papers in the food packaging field. They revealed that article segment are an effective criterion for filtering out a majority of the quantitative entity false positives using lexical scores. Moreover the best symbolic entity extraction results were obtained with a sequential combinations of semantic and lexical scores. These results enable the ranking of entities by relevance and the filtering of false positive results.
|
|
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; data extraction; data relevance; data representation; information retrieval; ontological and terminological resource; OTR; web scientific documents
|
|
URL: https://hal.inrae.fr/hal-03616243
https://doi.org/10.1504/IJIIDS.2022.120146
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
Combinaison de mesures lexicales et sémantiques pour l'extraction de données expérimentales dans des articlesscientifiques
|
|
|
|
In: Extraction et gestion des connaissances - EGC 2021 ; https://hal.archives-ouvertes.fr/hal-03313686 ; Extraction et gestion des connaissances - EGC 2021, Jan 2021, Montpellier, France. pp.501-502 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Xart: Discovery of correlated arguments of n-ary relations in text
|
|
|
|
In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal-agroparistech.archives-ouvertes.fr/hal-01508801 ; Expert Systems with Applications, Elsevier, 2017, 73, pp.115-124. ⟨10.1016/j.eswa.2016.12.028⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Xart system: discovering and extracting correlated arguments of n-ary relations from text
|
|
|
|
In: 6th International Conference on Web Intelligence, Mining and Semantics (WIMS) ; https://hal-agroparistech.archives-ouvertes.fr/hal-01357738 ; 6th International Conference on Web Intelligence, Mining and Semantics (WIMS), Jun 2016, Nimes, France. pp.8:1-8:12, ⟨10.1145/2912845.2912855⟩ (2016)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Découverte et extraction d'arguments de relations n-aires corrélés dans les textes
|
|
|
|
In: ISSN: 1764-1667 ; Revue des Nouvelles Technologies de l'Information ; https://hal-agroparistech.archives-ouvertes.fr/hal-01357720 ; Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2016, Fouille de Données Complexes, RNTI-E-31, pp.37-56 ; http://editions-rnti.fr/?procid=100167 (2016)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
An Ontological and Terminological Resource for n-ary Relation Annotation in Web Data Tables
|
|
|
|
In: Lecture Notes in Computer Science ; ODBASE'2011: 10th International Conference on Ontologies, DataBases, and Applications of Semantics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00616241 ; ODBASE'2011: 10th International Conference on Ontologies, DataBases, and Applications of Semantics, Oct 2011, Crete, Greece. pp.662-679, ⟨10.1007/978-3-642-25106-1_19⟩ ; http://www.onthemove-conferences.org/index.php/odbase11 (2011)
|
|
BASE
|
|
Show details
|
|
|
|
|
