Cargando…
Probing semantic relations : exploration and identification in specialized texts /
Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Philadelphia :
John Benjamins Pub. Co.,
©2010.
|
| Colección: | Benjamins current topics ;
v. 23. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover13;
- Editorial page
- Title page
- LCC data
- Table of contents
- About the Authors
- Probing semantic relations
- Pattern-based Extraction Dimensions
- Evaluation
- Terminological issues
- Contributions to this volume
- Concluding Remarks
- Notes
- References
- Web-based extraction of semantic relation instances for terminology work
- 1. Introduction
- 2. A closer look at KPs
- 3. Discovering and filtering KPs
- 4. Extracting and ranking instances
- 4.1 Reliability measures
- 4.2 Heuristics
- 5. Evaluation
- 5.1 Setup and purpose
- 5.2 Interannotator (dis)agreement
- 5.3 Example output
- 5.4 Performance of ranking schemes
- 5.5 Augmenting the UMLS
- 6. KP portability
- 7. Conclusion
- Notes
- References
- Designing and evaluating patterns for relation acquisition from texts with Cam233;l233;on
- 1. Introduction
- 2. The state of the art: Pattern-based knowledge identification
- 2.1 Pattern-based approaches: A cross-disciplinary matter
- 2.2 Pattern-based identification of semantic relations
- 3. A pattern-based method for a semantic relation identification
- 3.1 Background and motivations
- 3.2 Overview of the approach
- 3.3 Step 1: Project pattern definition
- 3.4 Step 2: Enriching the conceptual model
- 3.5 Towards an evaluation of Cam233;l233;on
- 4. How the tool supports relation extraction
- 4.1 Setting up a new project
- 4.2 Pattern design and adaptation
- 4.3 Pattern evaluation
- 4.4 Text fragment selection
- 4.5 Model enrichment
- 5. Method and Corpora for evaluating the set of knowledge patterns
- 5.1 Pattern design by using previous work
- 5.2 Varied corpora
- 5.3 Evaluating the patterns
- 6. Results
- 6.1 Definition patterns
- 6.2 Taxonomic and other patterns
- 7. Discussion
- 7.1 Pattern elaboration
- 7.2 What is a 8220;generic pattern8221;?
- 7.3 Needed skills to perform the evaluation task
- 7.4 Need for documenting patterns
- 8. Conclusion
- Notes
- References
- Definitional verbal patterns for semantic relation extraction
- 1. Introduction
- 2. The role of definitional contexts for the extraction of semantic relations
- 2.1 Finding semantic relations in definitions
- 2.2 Semantic relations and corpora
- 2.3 Definitional knowledge extraction
- 3. Definitional verbal patterns related to specific semantic relationships
- 3.1 Analytic verbal patterns
- 3.2 Functional verbal patterns
- 3.3 Meronymic and extensional verbal patterns
- 3.4 Synonymic verbal patterns
- 3.5 Structural classification
- 4. ECODE, a definitional context extraction system
- 4.1 Corpus
- 4.2 Extraction of occurrences of definitional verbal patterns
- 4.3 Filtering of non-relevant contexts
- 4.4 Identifying constitutive elements
- 4.5 Evaluation
- 5. Conclusions
- Acknowledgments
- Notes
- References
- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol
- 1. Introducci243;n
- 2. Las relaciones conceptuales
- 2.1 La relaci243;n parte-todo y su clasificaci243;n
- 2.2 Relaciones similares a la relaci243;n parte-todo
- 3. Extracci243;n de relaciones conceptuales mediante patrones
- 4. Una metodolog237;a basada en corpus para detectar pa.