Natural language processing and computational linguistics. 2, semantics, discourse and applications

Natural language processing and computational linguistics 2, semantics, discourse and applications 2, semantics, discourse and applications /

Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the f...

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Detalles Bibliográficos
Otros Autores: Kurdi, Mohamed Zakaria, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, UK : Hoboken, NJ : ISTE 2017.
Edición:1st edition
Colección:Cognitive science series.
Materias:
Natural language processing (Computer science)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630096806719
Tabla de Contenidos:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Introduction
  • 1. The Sphere of Lexicons and Knowledge
  • 1.1. Lexical semantics
  • 1.1.1. Extension of lexical meaning
  • 1.1.2. Paradigmatic relations of meaning
  • 1.1.3. Theories of lexical meaning
  • 1.2. Lexical databases
  • 1.2.1. Standards for encoding and exchanging data
  • 1.2.2. Standard character encoding
  • 1.2.3. Content standards
  • 1.2.4. Writing systems
  • 1.2.5. A few lexical databases
  • 1.3. Knowledge representation and ontologies
  • 1.3.1. Knowledge representation
  • 1.3.2. Ontologies
  • 2. The Sphere of Semantics
  • 2.1. Combinatorial semantics
  • 2.1.1. Interpretive semantics
  • 2.1.2. Generative semantics
  • 2.1.3. Case grammar
  • 2.1.4. Rastier's interpretive semantics
  • 2.1.5. Meaning-text theory
  • 2.2. Formal semantics
  • 2.2.1. Propositional logic
  • 2.2.2. First-order logic
  • 2.2.3. Lambda calculus
  • 2.2.4. Other types of logic
  • 3. The Sphere of Discourse and Text
  • 3.1. Discourse analysis and pragmatics
  • 3.1.1. Fundamental concepts
  • 3.1.2. Utterance production
  • 3.1.3. Context, cotext and intertextuality
  • 3.1.4. Information structure in discourse
  • 3.1.5. Coherence
  • 3.1.6. Cohesion
  • 3.1.7. Ellipses
  • 3.1.8. Textual sequences
  • 3.1.9. Speech acts
  • 3.2. Computational approaches to discourse
  • 3.2.1. Linear segmentation of discourse
  • 3.2.2. Rhetorical structure theory and automatic discourse analysis
  • 3.2.3. Discourse interpretation: DRT3
  • 3.2.4. Processing anaphora
  • 4. The Sphere of Applications
  • 4.1. Software engineering for NLP software
  • 4.1.1. Lifecycle of an NLP software
  • 4.1.2. Software architecture for NLP
  • 4.1.3. Serial architectures
  • 4.1.4. Data-centered architectures
  • 4.1.5. Object-oriented architectures
  • 4.1.6. Multi-agent architectures.
  • 4.1.7. Syntactic-semantic cooperation: from cognitive models to software architecture
  • 4.1.8. Programming languages for NLP
  • 4.1.9. Evaluation of NLP systems
  • 4.2. Machine translation (MT)
  • 4.2.1. Why is translation difficult?
  • 4.2.2. History of MT systems
  • 4.2.3. Typology of MT systems
  • 4.2.4. The use of MT
  • 4.2.5. MT techniques
  • 4.2.6. Example of a translation system: Verbmobil
  • 4.3. Information retrieval (IR)
  • 4.3.1. IR and related domains
  • 4.3.2. Lexical information and IR
  • 4.3.3. Information retrieval approaches
  • 4.4. Big Data (BD) and information extraction
  • 4.4.1. Structured, semi-structured and unstructured data
  • 4.4.2. Architectures of BD processing systems
  • 4.4.3. Role of NLP in BD processing
  • 4.4.4. Information extraction
  • Conclusion
  • Bibliography
  • Index
  • Other titles from iSTE in Cognitive Science and Knowledge Management
  • EULA.

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