Discontinuous Named Entity Recognition as Maximal Clique Discovery.

Then discontinuous NER can be reformulated as a non-parametric process of discovering maximal cliques in the graph and concatenating the spans in each clique. ... Named entity recognition (NER) remains challenging when entity mentions can be discontinuous. Existing methods break the recognition process into several sequential steps. ... Introduction Named Entity Recognition (NER) is the task of detecting mentions of real-world entities from text and classifying them into predefined types. ...

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Then discontinuous NER can be reformulated as a non-parametric process of discovering maximal cliques in the graph and concatenating the spans in each clique. ... Named entity recognition (NER) remains challenging when entity mentions can be discontinuous. Existing methods break the recognition process into several sequential steps. ... Introduction Named Entity Recognition (NER) is the task of detecting mentions of real-world entities from text and classifying them into predefined types. ...

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The potential of the clique when the MRF entity is an EDGE is set to our estimate of the log of the (local) odds of an entity being an EDGE over a NON-EDGE, and is set to 0 when it is a NON-EDGE. ... There are variety of motivations for this design including practical considerations and biological discoveries. ...

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This work is also supported by the IST Program of the European Community, under the Pascal Network of Excellence, IST-2002-506778, and an NSERC Discovery Grant. ... BioNLP/NLPBA-2004 Shared Task Our second experiment uses the BioNLP/NLPBA-2004 shared task of biomedical named-entity recognition on the GENIA corpus (Kim et al., 2004) . ... ) φ(x, y) decompose into terms over the maximal cliques {c 1 , . . . c n } of G: φ(x, y) = ({φ c (x, y c )}), where c indexes the maximal cliques, and y c is the label configuration for nodes in clique ...

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Discontinuous named entity recognition as maximal clique discov- ery. In Proceedings of ACL. ... facts as maximal a maximal clique discovery task. ...

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Then, the ligands in the identified complexes are used as templates (i.e., template ligands) to predict/design a ligand for the target protein. ... ligandbinding sites, is challenging because residues in the binding sites are mostly discontinuous (in terms of the residue number) and there is little secondary structure for fold recognition. ... A common approach is to analyze similarities between two biological entities. ...

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Drug discovery and development are long and financially taxing processes. On an average it takes 12-15 years and costs 1.2 billion USD for successful drug discovery and approval for clinical use. ... In order for a drug to be approved by FDA for clinical use, it must have excellent therapeutic potential in the desired area of target with minimal toxicities as supported by both pre-clinical and clinical ... as well as shelved and discontinued drugs [12] . ...

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Concepts and algorithms are demonstrated in five case studies involving up to 100 persons and up to eight types of tie, over as many as 15 time periods. ... Ties of each given type are treated as a separate entity (a matrix). ... a separate entity. ...

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We start by presenting events and their classifications, and continue with discussing the problem of capturing events in terms of photographs, videos, etc, as well as the methodologies for event storing ... Event modelling is essentially a discovery problem and involves the use of pattern recognition techniques, such as cluster analysis if prior information is unknown [27] . ... Making use of this representation, the work shows how activity subclasses can be discovered by exploiting the notion of maximal cliques in an edge-weighted graph. ...

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Transformations such as modifying, renaming, or merging entities in a software diagram are explicitly taken into account through edit operations to which specific costs can be assigned. ... Our approach avoids as much as possible assumptions about graphs to be matched and tries to make the best out of basic graph features such as node connectivity and edge types. ... entities' names and specific information. ...

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The proposed work had been implemented a biometric system that used as pattern the recognition of digital fingerprint which satisfied the characteristics of uniqueness, universally, performance and collectability ... We analyze the results from our study of all the DICOM images in the data set using two quality measures namely PSNR and RMSE. ... As studies have been conducted on the integration of these two fields of software agents & knowledge discovery. II. ...

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For example, named-entity recognition algorithms can be run on the text to identify the surface forms of named entities requiring disambiguation, as in Hoffart et al. (2011) , while wikification algorithms ... like named entity recognition, part-of-speech tagging, parsing, and chunking (Taskar 2004; Joachims 1998 ). ... Intuitively, the meaning of max 9E x case.E x/ is a case statement where the maximal value is assigned to each region of state space where there exists a satisfying instantiation of E x. ...

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For example, named-entity recognition algorithms can be run on the text to identify the surface forms of named entities requiring disambiguation, as in Hoffart et al. (2011) , while wikification algorithms ... like named entity recognition, part-of-speech tagging, parsing, and chunking (Taskar 2004; Joachims 1998 ). ... Intuitively, the meaning of max 9E x case.E x/ is a case statement where the maximal value is assigned to each region of state space where there exists a satisfying instantiation of E x. ...

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DIR aims to serve as an international platform (with a special focus on the Netherlands and Belgium) for exchange and discussions on research & applications in the field of information retrieval and related ... This task is called medical entity recognition [1] . ... Although this reduction may seem minor, our approach mainly targets medical concepts, which are highly relevant for downstream tasks such as named entity extraction. ...

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This insight, has. been too long and too widely. recognized to be now announced' as. a discovery. ... The category of the Many embodies mind's recognition of the existence within nature of a plurality of distinct entities. ...

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