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Extraction d'entités dans des collections évolutives
Abstract : The goal of our work is to use a set of reports and extract named entities, in our case the names of Industrial or Academic partners. Starting with an initial list of entities, we use a first set of documents to identify syntactic patterns that are then validated in a supervised learning phase on a set of annotated documents. The complete collection is then explored. This approach is similar to the ones used in data extraction from semi-structured documents (wrappers) and do not need any linguistic resources neither a large set for training. As our collection of documents would evolve over years , we hope that the performance of the extraction would improve with the increased size of the training set.
Cited literature [8 references]
https://hal.inria.fr/inria-00116910
Contributor : Anne-Marie Vercoustre Connect in order to contact the contributor
Submitted on : Friday, July 20, 2007 - 4:46:29 PM
Last modification on : Friday, February 4, 2022 - 3:13:47 AM
Long-term archiving on: : Friday, November 25, 2016 - 7:22:56 PM
Contributor : Anne-Marie Vercoustre Connect in order to contact the contributor
Submitted on : Friday, July 20, 2007 - 4:46:29 PM
Last modification on : Friday, February 4, 2022 - 3:13:47 AM
Long-term archiving on: : Friday, November 25, 2016 - 7:22:56 PM
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