%0 Conference Paper %1 de_araujo_exploring_2013 %A de Araujo, Denis %A Rigo, Sandro %A Muller, Carolina %A Chishman, Rove %D 2013 %K inferenz terminologieextraktion %P 33--40 %T Exploring the inference role in automatic information extraction from texts %U http://www.aclweb.org/anthology/W/W13/W13-52.pdf#page=45 %X In this paper we present a novel methodology for automatic information extraction from natural language texts, based on the integration of linguistic rules, multiple ontologies and inference resources, integrated with an abstraction layer for linguistic annotation and data representation. The SAURON system was developed to implement and integrate the methodology phases. The knowledge domain of legal realm has been used for the case study scenario through a corpus collected from the State Superior Court website in Brazil. The main contribution presented is related to the exploration of the flexibility of linguistic rules and domain knowledge representation, through their manipulation and integration by a reasoning system. Therefore, it is possible to the system to continuously interact with linguistic and domain experts in order to improve the set of linguistic rules or the ontology components. The results from the case study indicate that the proposed approach is effective for the legal domain.

@inproceedings{de_araujo_exploring_2013, abstract = {In this paper we present a novel methodology for automatic information extraction from natural language texts, based on the integration of linguistic rules, multiple ontologies and inference resources, integrated with an abstraction layer for linguistic annotation and data representation. The SAURON system was developed to implement and integrate the methodology phases. The knowledge domain of legal realm has been used for the case study scenario through a corpus collected from the State Superior Court website in Brazil. The main contribution presented is related to the exploration of the flexibility of linguistic rules and domain knowledge representation, through their manipulation and integration by a reasoning system. Therefore, it is possible to the system to continuously interact with linguistic and domain experts in order to improve the set of linguistic rules or the ontology components. The results from the case study indicate that the proposed approach is effective for the legal domain.}, added-at = {2018-11-04T16:54:56.000+0100}, author = {de Araujo, Denis and Rigo, Sandro and Muller, Carolina and Chishman, Rove}, biburl = {https://www.bibsonomy.org/bibtex/289639e903f47b886afaa816b36fa0f0b/lepsky}, interhash = {a33b3e59899f76d9a7645e9eec391c83}, intrahash = {89639e903f47b886afaa816b36fa0f0b}, keywords = {inferenz terminologieextraktion}, pages = {33--40}, timestamp = {2018-11-04T16:54:56.000+0100}, title = {Exploring the inference role in automatic information extraction from texts}, url = {http://www.aclweb.org/anthology/W/W13/W13-52.pdf#page=45}, year = 2013 }