Structure Discovery in Natural Language
Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
|
Σειρά: | Theory and Applications of Natural Language Processing
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Foreword by Antal van den Bosch
- 1.Introduction
- 2.Graph Models
- 3.SmallWorlds of Natural Language
- 4.Graph Clustering
- 5.Unsupervised Language Separation
- 6.Unsupervised Part-of-Speech Tagging
- 7.Word Sense Induction and Disambiguation
- 8.Conclusion
- References .