Conceptual information retrieval
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Tabular algorithms for TAG parsing
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Error mining in parsing results
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
From metagrammars to factorized TAG/TIG parsers
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Automatic Extraction of Clause Relationships from a Treebank
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Ontological parsing of encyclopedia information
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
| Hi-index | 0.00 |
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and interpretation, as well as clustering and data cleaning, is introduced. Our proposal exploits sentence structure in order to generate concept hypothese, rank them according to plausibility and select the most credible ones. It enables the knowledge acquisition task to be performed without supervision, minimizing the possibility of failing to retrieve information contained in the document, in order to extract non-taxonomic relations.