From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments

The text-mining system we are building deals with the specific problem of identifying the instances of relevant concepts present in the texts. Therefore, our system relies on interaction between a field expert and the various linguistic modules we use, often adapted from existing ones, such as Brill's tagger or CMU's Link parser. We have developed learning procedures adapted to various steps of the linguistic treatment, mainly for grammatical tagging, terminology, and concept learning. Our interaction with the expert differs from classical supervised learning, in that the expert is not simply a resource who is only able to provide examples, and unable to provide the formalized knowledge underlying these examples. We are developing specific programming languages which enable the field expert to intervene directly in some of the linguistic tasks. Our approach is thus devoted to helping one expert in one field to detect the concepts relevant for his/her field, using a large amo...

• Type: Conference
• Year: 2004
• Where: TREC
• Authors: Ahmed Amrani, Jérôme Azé, Thomas Heitz, Yves Kodratoff, Mathieu Roche
• Keywords: Expert, Field Expert, TREC 2004, TREC 2008, Various Linguistic Modules