Search results for: CONTROLLED NATURAL LANGUAGE

• Semantic rules representation in controlled natural language in FluentEditor

  Publication

  • A. Wróblewska
  • P. Kapłański
  • P. Zarzycki
  • I. Ługowska

  - IEEE Industrial Electronics Magazine - Year 2013

  This paper presents a way of representation of semantic rules (SWRL) in controlled English in order to facilitate understanding the rules by humans interacting with a machine. This approach (implemented in FluentEditor) may be applied in many domains, where the understandability of the rules used to support a decision process is of great importance.

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• Fluent Editor and Controlled Natural Language in Ontology Development

  Publication

  • P. Weichbroth

  - International Journal on Artificial Intelligence Tools - Year 2019

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• Natural language dictionaries implemented as finite automata

  Publication

  • J. Daciuk
  • J. Piskorski
  • S. Ristov

  - Year 2010

  Rozdział przedstawia wykorzystanie automatów skończonych jako słowników języka naturalnego. Podane są podstawy teoretyczne. Omówione są zastosowania: realizacja doskonałej funkcji mieszającej, analizy i syntezy morfologicznej, poprawiania pisowni i dopisywania znaków diakrytycznych, wydobywanie informacji. Podano algorytmy tworzenia automatów oraz omówiono sposoby reprezentacji automatów z uwzględnieniem kompresji.

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• Knowledge Base Suitable for Answering Questions in Natural Language

  Publication

  • T. M. Boiński
  • A. Ambrożewicz
  • J. Szymański

  - Year 2014

  This paper presents three knowledge bases widely used by researchers coping with natural language processing: OpenCyc, DBpedia and YAGO. They are characterized from the point of view of questions answering system. In this paper a short description of the aforementioned system implementation is also presented.

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• DBpedia and YAGO Based System for Answering Questions in Natural Language

  Publication

  • T. M. Boiński
  • J. Szymański
  • B. Dudek
  • P. Zalewski
  • S. Dompke
  • M. Czarnecka

  - Year 2018

  In this paper we propose a method for answering class 1 and class 2 questions (out of 5 classes defined by Moldovan for TREC conference) based on DBpedia and YAGO. Our method is based on generating dependency trees for the query. In the dependency tree we look for paths leading from the root to the named entity of interest. These paths (referenced further as fibers) are candidates for representation of actual user intention. The...

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• Extracting concepts from the software requirements specification using natural language processing

  Publication

  • J. Kuchta
  • P. Padhiyar

  - Year 2018

  Extracting concepts from the software require¬ments is one of the first step on the way to automating the software development process. This task is difficult due to the ambiguity of the natural language used to express the requirements specification. The methods used so far consist mainly of statistical analysis of words and matching expressions with a specific ontology of the domain in which the planned software will be applicable....

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• DBpedia and YAGO as Knowledge Base for Natural Language Based Question Answering—The Evaluation

  Publication

  • T. M. Boiński
  • A. Ambrożewicz

  - Advances in Intelligent Systems and Computing - Year 2018

  The idea of automatic question answering system has a very long history. Despite constant improvement of the systems asking questions in the natural language requires very complex solutions. In this paper the DBpedia and YAGO are evaluated as a knowledge bases for simple class 1 and 2 question answering system. For this purpose a question answering system was designed and implemented. The proposed solution and the knowledge bases...

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• Natural Language Semantics

  Journals

  ISSN: 0925-854X , eISSN: 1572-865X

• Natural Language & Linguistic Theory

  Journals

  ISSN: 0167-806X , eISSN: 1573-0859

• Natural Language Engineering

  Journals

  ISSN: 1351-3249 , eISSN: 1469-8110