Cardie, C.: Empirical methods in information extraction (1997)
0.00
0.0023435948 = product of:
0.0046871896 = sum of:
0.0046871896 = product of:
0.009374379 = sum of:
0.009374379 = weight(_text_:a in 3246) [ClassicSimilarity], result of:
0.009374379 = score(doc=3246,freq=6.0), product of:
0.053105544 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046056706 = queryNorm
0.17652355 = fieldWeight in 3246, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0625 = fieldNorm(doc=3246)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Surveys the use of empirical, machine-learning methods for information extraction. Presents a generic architecture for information extraction systems and surveys the learning algorithms that have been developed to address the problems of accuracy, portability, and knowledge acquisition for each component of the architecture
- Footnote
- Contribution to a special section reviewing recent research in empirical methods in speech recognition, syntactic parsing, semantic processing, information extraction and machine translation
- Type
- a
