Horacio Rodríguez
Biographic Data
| ID | 6537141 |
|---|---|
| NAME | Horacio Rodríguez |
| GIVEN NAMES | Horacio |
| FAMILY NAME | Rodríguez |
| SIGNATURE | RODRIGUEZ H |
| AFFILIATIONS | Technical University of Catalonia |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2012 |
| H-INDEX | 0 |
Empirical Methods for the Study of Denotation in Nominalizations in Spanish
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative distinction between event and result nominalizations. The goals of this work is twofold: first, to detect the most relevant features for this denotative distinction; and, second, to build an automatic classification system of deverbal nominalizations according to their denotation. We have based our study on theoretical hypotheses dealing with this …
Evaluation of terms and term extraction systems
Term extraction may be defined as a text mining activity whose main purpose is to obtain all the terms included in a text of a given domain. Since the eighties, and mainly due to the rapid scientific advances as well as the evolution of the communication systems, there has been a growing interest in obtaining the terms found in written documents. A number of techniques and strategies have been proposed for satisfying this requirement. At present …
Improving term extraction by combining different techniques
Two different reasons suggest that combining the performance of several term extractors could lead to an improvement in overall system accuracy. On the one hand, there is no clear agreement on whether to follow statistical, linguistic or hybrid approaches for (semi-) automatic term extraction. On the other hand, combining different knowledge sources (e.g. classifiers) has proved successful in improving the performance of individual sources on sev…
No prominent works on this page.
Improving term extraction by combining different techniques
Two different reasons suggest that combining the performance of several term extractors could lead to an improvement in overall system accuracy. On the one hand, there is no clear agreement on whether to follow statistical, linguistic or hybrid approaches for (semi-) automatic term extraction. On the other hand, combining different knowledge sources (e.g. classifiers) has proved successful in improving the performance of individual sources on sev…
Evaluation of terms and term extraction systems
Term extraction may be defined as a text mining activity whose main purpose is to obtain all the terms included in a text of a given domain. Since the eighties, and mainly due to the rapid scientific advances as well as the evolution of the communication systems, there has been a growing interest in obtaining the terms found in written documents. A number of techniques and strategies have been proposed for satisfying this requirement. At present …
Empirical Methods for the Study of Denotation in Nominalizations in Spanish
This article deals with deverbal nominalizations in Spanish; concretely, we focus on the denotative distinction between event and result nominalizations. The goals of this work is twofold: first, to detect the most relevant features for this denotative distinction; and, second, to build an automatic classification system of deverbal nominalizations according to their denotation. We have based our study on theoretical hypotheses dealing with this …
Artificial Intelligence (3 works) · Computer Science (3 works) · Natural language processing (3 works) · Advanced Text Analysis Techniques (2 works) · Linguistics (2 works) · Mathematics (2 works) · Natural Language Processing Techniques (2 works) · Semantic Web and Ontologies (2 works) · Biomedical Text Mining and Ontologies (1 work) · Classifier (UML (1 work)