Name
Abstract | ||
|---|---|---|
Terminological work aims to identify knowledge about terms in specialised texts in order to compile dictionaries, glossaries or ontologies. Searching for definitions about the terms that terminographers intend to define is therefore an essential task. This search can be done in specialised corpus, where they usually appear in definitional contexts, i.e. text fragments where an author explicitly defines a term. We present a research focused on the automatic extraction of those definitional contexts. The methodology includes three different processes: the extraction of definitional patterns, the automatic filtering of non-relevant contexts, and the automatic identification of constitutive elements, i.e., terms and definitions. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-642-04235-5_33 | Human Language Technology. Challenges of the Information Society |
Keywords | DocType | Volume |
computational terminography.,specialised corpus,definition extraction system,definitional knowledge,definitional context,essential task,definitional pattern,definition extraction,definitional contexts,specialised text,constitutive element,automatic extraction,automatic identification,different process,non-relevant context,information extraction | Conference | 5603 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodrigo Alarcón | 1 | 1 | 0.35 |
| Gerardo Sierra | 2 | 78 | 22.35 |
| Carme Bach | 3 | 1 | 0.69 |