Two Steps Feature Selection and Neural Network Classification for the TREC-8 Routing
| dc.creator | Stricker, Mathieu | |
| dc.creator | Vichot, Frantz | |
| dc.creator | Dreyfus, Gerard | |
| dc.creator | Wolinski, Francis | |
| dc.date | 2000-07-11 | |
| dc.date.accessioned | 2026-07-07T03:16:21Z | |
| dc.date.available | 2026-07-07T03:16:21Z | |
| dc.description | For the TREC-8 routing, one specific filter is built for each topic. Each filter is a classifier trained to recognize the documents that are relevant to the topic. When presented with a document, each classifier estimates the probability for the document to be relevant to the topic for which it has been trained. Since the procedure for building a filter is topic-independent, the system is fully automatic. By making use of a sample of documents that have previously been evaluated as relevant or not relevant to a particular topic, a term selection is performed, and a neural network is trained. Each document is represented by a vector of frequencies of a list of selected terms. This list depends on the topic to be filtered; it is constructed in two steps. The first step defines the characteristic words used in the relevant documents of the corpus; the second one chooses, among the previous list, the most discriminant ones. The length of the vector is optimized automatically for each topic. At the end of the term selection, a vector of typically 25 words is defined for the topic, so that each document which has to be processed is represented by a vector of term frequencies. This vector is subsequently input to a classifier that is trained from the same sample. After training, the classifier estimates for each document of a test set its probability of being relevant; for submission to TREC, the top 1000 documents are ranked in order of decreasing relevance. | |
| dc.description | 5 pages, 1 figure, Eighth International Text REtrieval Conference (TREC-8) | |
| dc.identifier | https://arxiv.org/abs/cs/0007016 | |
| dc.identifier | http://arxiv.org/abs/cs/0007016 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/30323 | |
| dc.subject | Computation and Language | |
| dc.subject | Artificial Intelligence | |
| dc.subject | H.3.3; K.3.2 | |
| dc.title | Two Steps Feature Selection and Neural Network Classification for the TREC-8 Routing | |
| dc.type | text |