Learning language in logic
This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP 99) and the Sixteenth International Conference on Machine Learning (ICML 99). LL...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| سلاسل: | Lecture notes in computer science. Lecture notes in artificial intelligence
1925 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning language in logic, James Cussens, Sašo Džeroski, (eds.), 2000, New York, Springer, 1 vol. (299 p.), Lecture notes in computer science, 3-540-41145-3 • Learning Language in Logic, Texte imprimé, 9783662170731 |
جدول المحتويات:
- Introductions & Overviews
- An Introduction to Inductive Logic Programming and Learning Language in Logic
- A Brief Introduction to Natural Language Processing for Non-linguists
- A Closer Look at the Automatic Induction of Linguistic Knowledge
- Learning for Semantic Interpretation: Scaling Up without Dumbing Down
- Morphology & Phonology
- Learning to Lemmatise Slovene Words
- Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming
- Learning the Logic of Simple Phonotactics
- Syntax
- Grammar Induction as Substructural Inductive Logic Programming
- Experiments in Inductive Chart Parsing
- ILP in Part-of-Speech Tagging An Overview
- Iterative Part-of-Speech Tagging
- DCG Induction Using MDL and Parsed Corpora
- Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation
- Unsupervised Lexical Learning with Categorial Grammars Using the LLL Corpus
- Induction of Recursive Transfer Rules
- Learning for Text Categorization and InformationExtraction with ILP
- Corpus-Based Learning of Semantic Relations by the ILP System, Asium
- Improving Learning by Choosing Examples Intelligently in Two Natural Language Tasks.