From Natural Language Documents to Sharable Product Knowledge: A Knowledge Engineering Approach

Rösner, Dietmar; Grote, Brigitte; Hartman, Knut; Höfling, Björn

doi:10.1007/978-3-662-03723-2_8

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…They use techniques based on the extraction of the interactions from the entities described in the document and expressed as subjectaction-object triples, by using a suitable syntactic parser. Rösner et al (1997) generate multilingual documents from knowledge bases by using automated techniques. The resulting documents can be represented in an interchangeable way centered in events.…”

Section: Language Processing Techniquesmentioning

confidence: 99%

Event analysis for information extraction from business-based technical documents

Losada¹,

Jaramillo²

2015

Proceedings of the the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation

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Event identification plays a crucial role in several natural language processing applications such as information extraction, question answering, and text analysis. In this paper, we describe a novel approach for analyzing events, their distribution, and the event mentions from a corpus of unlabeled business-based technical documents-a specific genre. In order to infer such mentions, we analyze the subject-verbobject structure for semi-automatically extracting several lexical, syntactic, and semantic features for each event mention from the corpus. Extracting event mentions allows us to cast grouping together the mentions with same features and propose properties leading to the differences of the specific genre. The obtained results are used for supporting an eventcentered processing level, from an automated machine for processing texts.

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Section: Language Processing Techniquesmentioning

confidence: 99%

Event analysis for information extraction from business-based technical documents

Losada¹,

Jaramillo²

2015

Proceedings of the the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation

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“…distributed interfaces). Being hardware level, these issues are well understood and are being addressed [77]. Context services (not shown) require intelligence and are used to identify the user's location, task, activity etc.…”

Section: A Renewed Vision For Oismentioning

confidence: 99%

“…This requires analysis, encoding and classification (ontology) of organizational knowledge [ibid]. There have been some proposals for handling such knowledge in the literature [25] [76] [77] Middleware Services are required for mobile clients to overcome resource limitations inherent in mobile devices. Examples of such services include communications, compression, security, media search etc.…”

Section: A Renewed Vision For Oismentioning

confidence: 99%

Office Information Systems: A Retrospective and a Call to Arms

Amaravadi¹

2014

JSEA

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Office Information Systems is a field of computer science concerned with studying offices and developing technologies to support office workers. The field initiated in 1982 suffered a gradual demise by 2004. However, many of the themes and issues that motivated the discipline continue to exist today. Office workers continue to struggle with routine tasks that do not have adequate IT support and the problem is worse for mobile employees. In this paper we provide a retrospective on OIS technologies with the hope of stimulating interest in the discipline and addressing the needs of office workers worldwide. The evolution of office technologies and a detailed discussion of past research are provided. The discussion shows that technology support for office workers is still inadequate. The paper suggests a technology vision and architecture to motivate researchers and identifies challenges for future research.

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“…El uso de ontologías está aún más justificado si a la hora de construir o elegir una fiíente de información, se toman en consideración los dos postulados que proponen Rosner et al [1997] y que están motivados en el uso que se pretende dar a las fuentes de información del dominio:…”

Section: Las Ontologías Como Fuentes De Información Del Dominiounclassified

Marco metodológico para la construcción de sistemas de generación de lenguaje natural

Galindo¹

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ASUNCIÓN GÓMEZ PÉREZ4 La GLN paso a paso 37 4.1 Las tareas de un sistema de GLN. 37 4.1.1 Resumen y conclusiones 4.2 Enfoques generales utilizados en la GLN 4.2.1 Resumen y conclusiones 4.3 Determinación del contenido del texto 4.3.1 Enfoques, métodos y técnicas para la determinación del contenido...46 4.3.2 Resumen y conclusiones 50 4.4 Estructuración retórica del texto 50 4.4.1 Enfoques, métodos y técnicas para la estructuración retórica 4.4.1.1 Enfoques de arriba abajo 4.4.1.1.1 Esquemas 4.4.1.1.2 Planificación 55 4.4.1.2 Enfoques de abajo a arriba 4.4.1.3 Búsqueda 4.4.1.4 Ordenamiento 66 4.4.2 Resumen y conclusiones 69 4.5 Lexicalización del texto 70 Marco metodológico para la construcción de sistemas de GLN i índice 4.5.1 Enfoques, métodos y técnicas para la lexicalización 71 4.5.2 Resumen y conclusiones 75 4.6 Agregación del texto 75 4.6.1 Enfoques, métodos y técnicas para la agregación 77 4.6.1.1 Combinación de elementos informativos 77 4.6.1.2 Ordenamiento 84 4.6.2 Resumen y conclusiones 85 4.7 Generación de las expresiones de referencia del texto 86 4.1.1 Enfoques, métodos y técnicas para la generación de expresiones de referencia 87 4.7.1.1 Algoritmos para la generación de expresiones de referencia 4.7.2 Resumen y conclusiones 96 4.8 Realización gramatical del texto 4.8.1 Enfoques, métodos y técnicas para la realización gramatical 98 4.8.1.1 Realización con ima gramática bidireccional 4.8.1.2 Realización con \ma SFG 105 4.8.1.3 Realización con una gramática de la MTT 4.8.1.4 Realización con métodos estadísticos 4.8.1.5 Realización con aprendizaje automático 4.8.1.6 Realización con una gramática de atributos 4.8.1.7 Realización con ima TAG 4.8.1.8 Realización con una HPSG 4.8.1.9 Realización con una ATN 4.8.2 Componentes de realización disponibles 4.8.2.1 Tipos de especificaciones que entran a un realizador 4.8.2.2 KPML 4.8.2.3 FUF/SURGE 4.8.2.4 RealPro 4.8.3 Resumen y conclusiones 4.9 Realización de la presentación del texto 4.9.1 Enfoques, métodos y técnicas para la realización de la presentación 4.9.2 Resumen y conclusiones 4.10 Resumen y conclusiones Arquitectura de los sistemas de GLN 5.1 Paradigmas arquitectónicos 5.1.1 Arquitectura integrada 5.1.2 Arquitectura modular 5.1.2.1 Arquitectura secuencial 5.1.2.2 Arquitecturas con retroalimentación 5.1.2.3 Arquitecturas con revisión 5.2 Arquitecturas de referencia 5.2.1 Arquitectura del proyecto RAGS 5.2.2 Arquitectura de Reiter y Dale 149

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From Natural Language Documents to Sharable Product Knowledge: A Knowledge Engineering Approach

Cited by 9 publications

References 20 publications

Event analysis for information extraction from business-based technical documents

Event analysis for information extraction from business-based technical documents

Office Information Systems: A Retrospective and a Call to Arms

Marco metodológico para la construcción de sistemas de generación de lenguaje natural

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