Natural Language Processing and Knowledge Representation Language for Knowledge and Knowledge for Language Lucja M. Iwanska, Stuart C. Shapiro
Τύπος υλικού:![Κείμενο](/opac-tmpl/lib/famfamfam/BK.png)
- 0262590212
- 006.35 IWA
Τύπος τεκμηρίου | Τρέχουσα βιβλιοθήκη | Ταξιθετικός αριθμός | Αριθμός αντιτύπου | Κατάσταση | Ημερομηνία λήξης | Ραβδοκώδικας |
---|---|---|---|---|---|---|
Μηχανικών Η/Υ και Πληροφορικής | 006.35 IWA (Περιήγηση στο ράφι(Άνοιγμα παρακάτω)) | 1 | Διαθέσιμο |
βιβλιογραφία : σσ. 415 - 439, ευρετήριο : σσ. 441 - 459
Preface, Contributors, Section One : Formal, Computational, Representations and inference Methods Based on Natural Language, Chapter One : Natural Language Is a Powerful Knowledge Representation System: The UNO Model / 7, Chapter Two : Natural Languaue Syntax and First Order Inference / 65, Chapter Three : Issues in the Representation of Real Texts : The Design of Krisp / 77, Chapter Four : Episodic Logic Meets Little Red Riding Hood - A Comprehensive Natural Representation for language Understanding / 111, Chapter Five : SNePS: A Logic for Natural Language Understanding and Commonsense Reasoning / 175, Section Two: Knowledge Representation and Acquisition for Large-Scale, General-Purpose Natural Language Processing Systems, Section Introduction / 193, Chapter Six : A Multi-Level Approach to Interlingual Machine Translation : Defining the Interface between Representation Languages / 207, Chapter Seven : Uniform Natural (Language) Spatio - Temporal Logic : Reasoning about Absolute and Relative Space and Time / 249, Chapter Eight : Mixed Depth Representations for Dialog processing / 283, Chapter Nine : Enriching the WordNet Taxonimy with Contextual Knowledge Acquired from Text / 301, Chapter Ten : Fully Automatic Acquisition of Taxonomic Knowledge from Large Corpora of Texts: Limited - Syntax Knowledge Representation System based on Natural Language / 335, Chapter Eleven : A Computational Theory of Vocabulary Acquisition / 347, Appendices A,B,C, Bibliography, Index