Unsupervised information extraction by text segmentation
A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors' approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a...
| Main Author: | Cortez, Eli. |
|---|---|
| Other Authors: | Silva, Altigran S. da., Sociedade Brasileira de Computação. Congresso |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2013.
Cham : 2013. |
| Physical Description: |
1 online resource (xv, 94 pages) : illustrations. |
| Series: |
SpringerBriefs in computer science.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |