Building a Machine Learning Based Text Understanding System

By Stephen Soderland. 2001

15 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yann LeCun
2. Yoshua Bengio
3. Kaiming He
4. Ruslan Salakhutdinov
5. Sergey Levine
6. Trevor Darrell
7. Quoc V. Le
8. Jitendra Malik

Citations in the corpus

• Text Understanding from Scratch (2015, background): “So far, most machine learning approaches to text understanding consist in tokenizing a string of characters into structures such as words, phrases, sentences and para-graphs, and then apply some statistical classification al-gorithm onto the statistics of such structures(Soderland, 2001).”