06848nam 2200661Ia 450 991096375950332120240516032013.01-282-72161-5978661272161890-272-8792-910.1075/bct.23(CKB)2670000000035721(SSID)ssj0000426105(PQKBManifestationID)11250169(PQKBTitleCode)TC0000426105(PQKBWorkID)10372178(PQKB)10509125(MiAaPQ)EBC623395(Au-PeEL)EBL623395(CaPaEBR)ebr10408506(CaONFJC)MIL272161(OCoLC)705533542(DE-B1597)721782(DE-B1597)9789027287922(EXLCZ)99267000000003572120100604d2010 uy 0engurcn|||||||||txtccrProbing semantic relations exploration and identification in specialized texts /edited by Alain Auger, Caroline Barrière1st ed.Amsterdam ;Philadelphia John Benjamins Pub. Co.2010ix, 156 pBenjamins Current Topics ;23Bibliographic Level Mode of Issuance: Monograph90-272-2253-3 Includes bibliographical references and index.Probing Semantic Relations -- 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 Caméléon -- 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 Caméléon -- 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 "generic pattern"?.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 léxicos para la extracción de conceptos vinculados por la relación parte-todo en español -- 1. Introducción -- 2. Las relaciones conceptuales -- 2.1 La relación parte-todo y su clasificación -- 2.2 Relaciones similares a la relación parte-todo -- 3. Extracción de relaciones conceptuales mediante patrones -- 4. Una metodología basada en corpus para detectar patrones léxicos -- 4.1 Corpus utilizado -- 4.2 Fases del trabajo empírico -- 5. Resultados -- 6. Conclusiones -- Notes -- Referencias -- Anexo 1. Clasificación de los términos vinculados por la relación parte-todo -- Anexo 2. Catálogo de patrones léxicos -- Expressions of uncertainty in candidate knowledge-rich contexts -- 1. Introduction -- 2. Background -- 2.1 Knowledge patterns -- 2.2 Expressions of uncertainty -- 3. Relations -- 4. Methodology -- 5. Results -- 5.1 Quantification -- 5.2 Hedging -- 5.3 Modal verbs -- 5.4 Negation.6. Conclusions and future work -- Acknowledgments -- Notes -- References -- Sources of examples -- Index -- The series Benjamins Current Topics.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 natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of Terminology 14:1 (2008), the current book emphasizes how definitional knowledge is conveyed by conceptual and semantic relations such as synonymy, causality, hypernymy (generic-specific), and meronymy (part-whole). Showing the difficulties and successes of pattern-based approaches, the book illustrates current and future challenges in knowledge acquisition from text. 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