David Yarowsky
Biographic Data
| ID | 3477914 |
|---|---|
| NAME | David Yarowsky |
| GIVEN NAMES | David |
| FAMILY NAME | Yarowsky |
| SIGNATURE | YAROWSKY D |
| AFFILIATIONS | University of Geneva, AT&T Labs–Research, Xerox Research Centre Europe, University of Geneva, Bell Laboratories, and Johns Hopkins University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2000 |
| H-INDEX | 1 |
Briefly Noted
Natural Language Processing Using Very Large Corpora
This book is intended for researchers who want to keep abreast of current developments in corpus-based natural language processing. It captures the essence of a series of highly successful workshops organized over the last few years. The papers cover a range of current research topics in this field including part-of-speech tagging, word sense disambiguation, parsing on real-life texts, working with parallel corpora and improved techniques for doc…
Natural Language Processing Using Very Large Corpora
This book is intended for researchers who want to keep abreast of current developments in corpus-based natural language processing. It captures the essence of a series of highly successful workshops organized over the last few years. The papers cover a range of current research topics in this field including part-of-speech tagging, word sense disambiguation, parsing on real-life texts, working with parallel corpora and improved techniques for doc…
Briefly Noted
Natural Language Processing Using Very Large Corpora
This book is intended for researchers who want to keep abreast of current developments in corpus-based natural language processing. It captures the essence of a series of highly successful workshops organized over the last few years. The papers cover a range of current research topics in this field including part-of-speech tagging, word sense disambiguation, parsing on real-life texts, working with parallel corpora and improved techniques for doc…
Computer Science (2 works) · Algorithms and Data Compression (1 work) · Artificial Intelligence (1 work) · Natural language processing (1 work) · Natural Language Processing Techniques (1 work) · Topic Modeling (1 work)