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- 560 creator ben-allison.
- 560 creator louise-guthrie.
- 560 creator sanaz-jabbari.
- 560 type InProceedings.
- 560 label "Using a Probabilistic Model of Context to Detect Word Obfuscation".
- 560 sameAs 560.
- 560 abstract "This paper proposes a distributional model of word use and word meaning which is derived purely from a body of text, and then applies this model to determine whether certain words are used in or out of context. We suggest that we can view the contexts of words as multinomially distributed random variables. We illustrate how using this basic idea, we can formulate the problem of detecting whether or not a word is used in context as a likelihood ratio test. We also define a measure of semantic relatedness between a word and its context using the same model. We assume that words that typically appear together are related, and thus have similar probability distributions and that words used in an unusual way will have probability distributions which are dissimilar from those of their surrounding context. The relatedness of a word to its context is based on Kullback-Leibler divergence between probability distributions assigned to the constituent words in the given sentence. We employed our methods on a defense-oriented application where certain words are substituted with other words in an intercepted communication.".
- 560 hasAuthorList authorList.
- 560 hasTopic Linguistics.
- 560 isPartOf proceedings.
- 560 keyword "Language modelling".
- 560 keyword "Semantics".
- 560 keyword "Statistical methods".
- 560 title "Using a Probabilistic Model of Context to Detect Word Obfuscation".
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- item-1 hasContent sanaz-jabbari.
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- 561 creator christian-spurk.
- 561 creator constantin-orasan.
- 561 creator matteo-negri.
- 561 creator shiyan-ou.
- 561 creator viktor-pekar.
- 561 type InProceedings.
- 561 label "Development and Alignment of a Domain-Specific Ontology for Question Answering".
- 561 sameAs 561.
- 561 abstract "With the appearance of Semantic Web technologies, it becomes possible to develop novel, sophisticated question answering systems, where ontologies are usually used as the core knowledge component. In the EU-funded project, QALL-ME, a domain-specific ontology was developed and applied for question answering in the domain of tourism, along with the assistance of two upper ontologies for concept expansion and reasoning. This paper focuses on the development of the QALL-ME ontology in the tourism domain and its alignment with the upper ontologies - WordNet and SUMO. The design of the ontology is presented in the paper, and a semi-automatic alignment procedure is described with some alignment results given as well. Furthermore, the aligned ontology was used to semantically annotate original data obtained from the tourism web sites and natural language questions. The storage schema of the annotated data and the data access method for retrieving answers from the annotated data are also reported in the paper.".
- 561 hasAuthorList authorList.
- 561 hasTopic Linguistics.
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- 561 keyword "Knowledge representation".
- 561 keyword "Ontologies".
- 561 keyword "Semantic Web".
- 561 title "Development and Alignment of a Domain-Specific Ontology for Question Answering".
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- item-1 hasContent shiyan-ou.
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- 562 creator armando-stellato.
- 562 creator marco-pennacchiotti.
- 562 creator maria-teresa-pazienza.
- 562 type InProceedings.
- 562 label "A Web Browser Extension for Growing-up Ontological Knowledge from Traditional Web Content".
- 562 sameAs 562.
- 562 abstract "While the Web is facing interesting new changes in the way users access, interact and even participate to its growth, the most traditional applications dedicated to its fruition: web browsers, are not responding with the same euphoric boost for innovation, mostly relying on third party or open-source community-driven extensions for addressing the new Social and Semantic Web trends and technologies. This technological and decisional gap, which is probably due to the lack of a strong standardization commitment on the one side (Web 2.0/Social Web) and in the delay of massive adherence to new officially approved standards (W3C approved Semantic Web languages), has to be filled by successful stories which could lay the path for the evolution of browsers. In this work we present a novel web browser extension which combines several features coming from the worlds of terminology and information extraction, semantic annotation and knowledge management, to support users in the process of both keeping track of interesting information they find on the web, and organizing its associated content following knowledge representation standards offered by the Semantic Web".
- 562 hasAuthorList authorList.
- 562 hasTopic Linguistics.
- 562 isPartOf proceedings.
- 562 keyword "Ontologies".
- 562 keyword "Semantic Web".
- 562 keyword "Tools, systems, applications".
- 562 title "A Web Browser Extension for Growing-up Ontological Knowledge from Traditional Web Content".
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- item-1 hasContent maria-teresa-pazienza.
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