1. Articles in category: Semantic

    3961-3984 of 4071 « 1 2 ... 163 164 165 166 167 168 169 170 »
    1. Using contextual and lexical features to restructure and validate the classification of biomedical concepts.

      Related Articles Using contextual and lexical features to restructure and validate the classification of biomedical concepts. BMC Bioinformatics. 2007;8:264 Authors: Fan JW, Xu H, Friedman C BACKGROUND: Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language processing as well as associated mining and reasoning systems. The effectiveness of these systems is heavily dependent on the quality of the ontological terms and their classifications. To assist in developing and maintaining the ontologies objectively, we propose automatic approaches to classify and/or validate their semantic categories. In previous ...
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      Mentions: New York Xu H
    2. Semantic integration to identify overlapping functional modules in protein interaction networks.

      Related Articles Semantic integration to identify overlapping functional modules in protein interaction networks. BMC Bioinformatics. 2007;8:265 Authors: Cho YR, Hwang W, Ramanathan M, Zhang A BACKGROUND: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be identified from the protein interaction networks derived from experimental data sets. However, these analyses are challenging because of the presence of unreliable interactions and the complex connectivity of the network. The integration of protein-protein interactions with the data from other sources can be leveraged for improving the effectiveness of functional module ...
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    3. Psychiatric consultation record retrieval using scenario-based representation and multilevel mixture model.

      Related Articles Psychiatric consultation record retrieval using scenario-based representation and multilevel mixture model. IEEE Trans Inf Technol Biomed. 2007 Jul;11(4):415-27 Authors: Yu LC, Wu CH, Jang FL Psychiatric consultation record retrieval attempts to help people to efficiently and effectively locate the consultation records relevant to their depressive problems. Consultation records can also make people aware that they are not alone, because many individuals have suffered from the same or similar problems. Additionally, people can understand how to alleviate their depressive symptoms according to recommendations from health professionals. To achieve this goal, this paper proposes the use of ...
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    4. A Semantic Role Labeling System For Biomedical Verbs Using A Maximum-Entropy Model With Automatically Generated Template Features.

      Related Articles BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features. BMC Bioinformatics. 2007;8:325 Authors: Tsai RT, Chou WC, Su YS, Lin YC, Sung CL, Dai HJ, Yeh IT, Ku W, Sung TY, Hsu WL BACKGROUND: Bioinformatics tools for automatic processing of biomedical literature are invaluable for both the design and interpretation of large-scale experiments. Many information extraction (IE) systems that incorporate natural language processing (NLP) techniques have thus been developed for use in the biomedical field. A key IE task in this field is the extraction of biomedical ...
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    5. Large-scale evaluation of a medical cross-language information retrieval system.

      Related Articles Large-scale evaluation of a medical cross-language information retrieval system. Medinfo. 2007;12(Pt 1):392-6 Authors: Markó K, Daumke P, Schulz S, Klar R, Hahn U We propose an approach to multilingual medical document retrieval in which complex word forms are segmented according to medically relevant morpho-semantic criteria. At its core lies a multilingual dictionary, in which entries are equivalence classes of subwords, i.e. semantically minimal units. Using two different standard test collections for the medical domain, we evaluate our approach for six languages covered by our system. PMID: 17911746 [PubMed - indexed for MEDLINE]
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    6. Using distributional analysis to semantically classify UMLS concepts.

      Related Articles Using distributional analysis to semantically classify UMLS concepts. Medinfo. 2007;12(Pt 1):519-23 Authors: Fan JW, Xu H, Friedman C The UMLS is a widely used and comprehensive knowledge source in the biomedical domain. It specifies biomedical concepts and their semantic categories, and therefore is valuable for Natural Language Processing (NLP) and other knowledge-based systems. However, the UMLS semantic classification is not always accurate, which adversely affects performance of these systems. Therefore, it is desirable to automatically validate, or, when necessary, to semantically reclassify UMLS concepts. We applied a distributional similarity method based on syntactic dependencies and ...
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      Mentions: Xu H Columbia
    7. Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies.

      Related Articles Coupling ontology driven semantic representation with multilingual natural language generation for tuning international terminologies. Medinfo. 2007;12(Pt 1):555-9 Authors: Rassinoux AM, Baud RH, Rodrigues JM, Lovis C, Geissbühler A OBJECTIVES: The importance of clinical communication between providers, consumers and others, as well as the requisite for computer interoperability, strengthens the need for sharing common accepted terminologies. Under the directives of the World Health Organization (WHO), an approach is currently being conducted in Australia to adopt a standardized terminology for medical procedures that is intended to become an international reference. METHOD: In order to achieve such ...
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    8. Structuring of free-text diagnostic report.

      Related Articles Structuring of free-text diagnostic report. Medinfo. 2007;12(Pt 1):669-73 Authors: Fujii H, Yamagishi H, Ando Y, Tsukamoto N, Kawaguchi O, Kasamatsu T, Kurosaki K, Osada M, Kaneko H, Kubo A PURPOSE: It is useful to convert free-text diagnostic reports into structured diagnostic reports by semantic analysis for the secondary investigation of their contents. In this study, we propose a system in which description units are automatically extracted to create structured text reports and we evaluated its usefulness. METHODS: We defined the rules to create description units and developed the system that can automatically extract these description ...
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    9. Reconciliation of ontology and terminology to cope with linguistics.

      Related Articles Reconciliation of ontology and terminology to cope with linguistics. Medinfo. 2007;12(Pt 1):796-801 Authors: Baud RH, Ceusters W, Ruch P, Rassinoux AM, Lovis C, Geissbühler A OBJECTIVES: To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negative consequences of confusing them. METHODS: The viewpoints of the terminologist and (computational) linguist are developed separately, and then compared, leading to the presentation of reconciliation among these points of view, with consideration of the role of the ontologist. RESULTS: In order to encourage appropriate ...
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    10. Extracting semantic predications from Medline citations for pharmacogenomics.

      Related Articles Extracting semantic predications from Medline citations for pharmacogenomics. Pac Symp Biocomput. 2007;:209-20 Authors: Ahlers CB, Fiszman M, Demner-Fushman D, Lang FM, Rindflesch TC We describe a natural language processing system (Enhanced SemRep) to identify core assertions on pharmacogenomics in Medline citations. Extracted information is represented as semantic predications covering a range of relations relevant to this domain. The specific relations addressed by the system provide greater precision than that achievable with methods that rely on entity co-occurrence. The development of Enhanced SemRep is based on the adaptation of an existing system and crucially depends on domain knowledge ...
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    11. Enhanced semantic access to the protein engineering literature using ontologies populated by text mining.

      Related Articles Enhanced semantic access to the protein engineering literature using ontologies populated by text mining. Int J Bioinform Res Appl. 2007;3(3):389-413 Authors: Witte R, Kappler T, Baker CJ The biomedical literature is growing at an ever-increasing rate, which pronounces the need to support scientists with advanced, automated means of accessing knowledge. We investigate a novel approach employing description logics (DL)-based queries made to formal ontologies that have been created using the results of text mining full-text research papers. In this paradigm, an OWL-DL ontology becomes populated with instances detected through natural language processing (NLP). The ...
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    12. Semantic representation of Korean numeral classifier and its ontology building for HLT applications

      Abstract  The complexity of Korean numeral classifiers demands semantic as well as computational approaches that employ natural language processing (NLP) techniques. The classifier is a universal linguistic device, having the two functions of quantifying and classifying nouns in noun phrase constructions. Many linguistic studies have focused on the fact that numeral classifiers afford decisive clues to categorizing nouns. However, few studies have dealt with the semantic categorization of classifiers and their semantic relations to the nouns they quantify and categorize in building ontologies. In this article, we propose the semantic recategorization of the Korean numeral classifiers in the context of ...
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    13. A large-scale classification of English verbs

      Abstract  Lexical classifications have proved useful in supporting various natural language processing (NLP) tasks. The largest verb classification for English is Levin’s (1993) work which defines groupings of verbs based on syntactic and semantic properties. VerbNet (VN) (Kipper et al. 2000; Kipper-Schuler 2005)—an extensive computational verb lexicon for English—provides detailed syntactic-semantic descriptions of Levin classes. While the classes included are extensive enough for some NLP use, they are not comprehensive. Korhonen and Briscoe (2004) have proposed a significant extension of Levin’s classification which incorporates 57 novel classes for verbs not covered (comprehensively) by Levin. Korhonen and ...
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    14. Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier

      This paper introduces a robust, portable system for categorizing unknown words. It is based on a multi- component architecture where each component is responsible for identifying one class of unknown words. The focus of this paper is the component that identifies spelling errors. The misspelling identifier uses a decision tree architecture to combine multiple types of evidence about the unknown word. The misspelling identifier is evaluated using data from live closed captions - a genre replete with a wide variety of unknown words. Content Type Book ChapterDOI 10.1007/3-540-46695-9_11Authors Janine Toole, Simon Fraser University Natural Language Lab, School of Computing ...
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    15. Correction of Medical Handwriting OCR Based on Semantic Similarity

      In the paper a method of the correction of handwriting Optical Character Recognition (OCR) based on the semantic similarity is presented. Different versions of the extraction of semantic similarity measures from a corpus are analysed, with the best results achieved for the combination of the text window context and Rank Weight Function. An algorithm of the word sequence selection with the high internal similarity is proposed. The method was trained and applied to a corpus of real medical documents written in Polish. Content Type Book ChapterDOI 10.1007/978-3-540-77226-2_45Authors Bartosz Broda, Institute of Applied Informatics, Wrocław University of Technology PolandMaciej ...
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    16. Automatic building of an ontology on the basis of text corpora in Thai

      Abstract  This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on which we identify taxonomic relations with the help of cues: lexico-syntactic patterns and item lists. The main advantage of the approach is that it simplify the task of concept and relation labeling since cues help for identifying the ontological concept and hinting their relation. However, these techniques pose certain problems, i.e. cue word ambiguity, item list identification, and numerous candidate terms. We also propose the methodology to solve these ...
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    17. Semantic authoring, runtime and training environment

      A system for developing semantic schema for natural language processing has a semantic runtime engine and a semantic authoring tool. The semantic runtime engine is adapted to map a natural language input to a semantic schema and to return the mapped results to an application domain. The semantic authoring tool is adapted to receive user input for defining the semantic schema and to interact with the semantic runtime engine to test the semantic schema against a query.
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    18. Automatic Character Assignation

      This article outlines a simple method for parsing an ASCII-format dramatic work from the Project Gutenberg Corpus into separate characters. The motivation for the program is a upcoming study in computational stylistics and characterization in drama. Various previous approaches involving interactive media are examined and the parser is evaluated by comparing the output to data annotated by hand and parsed automatically by the Opensourceshakespeare.org project parser. An acceptable level of accuracy is achieved, and it is identified how to improve accuracy to extremely high levels. Content Type Book ChapterDOI 10.1007/978-1-84800-094-0_25Authors Gerard Lynch, Computational Linguistics Group Department of ...
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    19. Semantic Web Technologies for Enhancing Intelligent DSS Environments

      The next generation Web, called the Semantic Web (SW), is receiving much attention lately from the research and development communities globally, Many software designers, developers, and vendors have recently begun exploring the use of SW technologies within the context of developing intelligent Web-based Decision Support Systems (DSS) since they provide an attractive, application-neutral, platform-neutral, Web environment that operates on top of the existing Web without having to modify it. They are envisioned to provide machine interpretation and processing capability of the existing Web information. With these powerful potential advantages, there is a need for the DSS designers and developers to ...
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    20. A Flexible Framework To Experiment With Ontology Learning Techniques

      Ontology learning refers to extracting conceptual knowledge from several sources and building an ontology from scratch, enriching, or adapting an existing ontology. It uses methods from a diverse spectrum of fields such as Natural Language Processing, Artificial Intelligence and Machine learning. However, a crucial challenging issue is to quantitatively evaluate the usefulness and accuracy of both techniques and combinations of techniques, when applied to ontology learning. It is an interesting problem because there are no published comparative studies. We are developing a flexible framework for ontology learning from text which provides a cyclical process that involves the successive application of ...
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    21. Content-Based Recommendation Services for Personalized Digital Libraries

      This paper describes the possible use of advanced content-based recommendation methods in the area of Digital Libraries. Content-based recommenders analyze documents previously rated by a target user, and build a profile exploited to recommend new interesting documents. One of the main limitations of traditional keyword-based approaches is that they are unable to capture the semantics of the user interests, due to the natural language ambiguity. We developed a semantic recommender system, called ITem Recommender, able to disambiguate documents before using them to learn the user profile. The Conference Participant Advisor service relies on the profiles learned by ITem Recommender to ...
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    22. Effectiveness of Methods for Syntactic and Semantic Recognition of Numeral Strings: Tradeoffs Between Number of Features and Length of Word N-Grams

      This paper describes and compares the use of methods based on N-grams (specifically trigrams and pentagrams), together with five features, to recognise the syntactic and semantic categories of numeral strings representing money, number, date, etc., in texts. The system employs three interpretation processes: word N-grams construction with a tokeniser; rule-based processing of numeral strings; and N-gram-based classification. We extracted numeral strings from 1,111 online newspaper articles. For numeral strings interpretation, we chose 112 (10%) of 1,111 articles to provide unseen test data (1,278 numeral strings), and used the remaining 999 articles to provide 11,525 numeral strings ...
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    3961-3984 of 4071 « 1 2 ... 163 164 165 166 167 168 169 170 »
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