... Computational Linguistics and Chinese Language Processing, 10, (2): 219 - 236. ChengXiang Zhai and John Lafferty. 2006. Arisk minimization frameworkforinformation retrieval. Information ... 176. Aleksander Kolcz, Vidya Prabakarmurthi and Jugal Kalita. 2001. Summarization as feature selection for text categorization. In Proc. of Conference on Information and Knowledge Management: ... & Management, 42, (1): 31 - 55. ChengXiang Zhai. Statistical language models for information retrieval . Morgan & Claypool Publishers, 2008. Justin Jian Zhang, Ho Yin Chan and Pascale...
... F1-measure of anchor pair A i and A j. 5.3 Evaluation of templates At this stage, we have a set of accepted integral relation paths between any anchor pair A i and A j. The next task ... Satellite named Mar-shal Nucleus played by Amourie Kats Nucleus Satellitespan elaboration span elaboration elaboration span Figure 2. Exam-ple of anchor Anchor A i Marshal ... Evaluation of relation path In the first stage, we evaluate from training data the relevance of relation path Pathl = [A i, Rel1,…, Reln, A j] between candidate anchors A i and A j...
... Management Framework - Introduced Marine PestsPriorities and hazards for Economies Variable levels of activity and management capabilityShips’ ballast water and hull fouling are ... strategic measuresManagement Framework - Introduced Marine PestsPhase 1 – Consultancy Identified current management capabilities and approaches Priorities and hazards for APEC EconomiesConsiderations ... PestsConsiderations forarisk management framework Risk management - “ culture, processes and structures that are directed towards the effective management of potential opportunities and adverse...
... T Mullen, and N Col-lier. 2005. Zone Analysis in Biology Articlesas a Basis forInformation Extraction. Inter-national Journal of Medical Informatics, toappear.C Orasan. 2001. Patterns in ... relevance feedback.Journal of the American Society for Informa-tion Science, 41(4).J Savoy. 2005. Bibliographic database accessusing free-text and controlled vocabulary: Anevaluation. Information ... iden-tification in biology articles as a basis for information extraction. Proceedings of thejoint NLPBA/BioNLP Workshop on NaturalLanguage for Biomedical Applications, pages119–125.Y Mizuta, A Korhonen,...
... wrongdoing, arisk assessment report should not be presented in an accusatory manner but as a systematic and analytical approach to assessing risk so that senior management will understand the risks and ... organizational documentation, such as the mission impact analysis report or asset criticality assessment report. A mission impact analysis (also known as business impact analysis [BIA] for ... organizations) prioritizes the impact levels associated with the compromise of an organization’s information assets based on a qualitative or quantitative assessment of the sensitivity and...
... opportunity for innovationChaos unabatedteS up mechanisms (such as parallel teams) to take advantage of opportunities afforded by a chaotic environmentegaruocnE advisers to challenge your ... to manage chaos and innovationin parallel: The minute you encounter a crisis,appoint a reliable manager or crisis manage-ment team to resolve the issue. At the sametime, pick out a separate ... applications, from helping a pharma-ceutical company develop a new productstrategy to assisting a Canadian provincialgovernment in its efforts to engage employeesin policy making.The framework...
... Representation and classification of knowledge and information for use in interactive information re- trieval. In Human Aspects of Information Science. Oslo: Norwegian Library School. 148 ... OMITTED? 4. IF NO OR ' INTERM' tO NO. l, WAS ABSTRACT ACCURATE? Association Map for Sample Abstract Abstract Representation Evaluation % YES % NO % % NO INTERM. RESP. 48.0 29.6 ... phrase as a co-occurrence with the phrase, rather than the individual word. This is to control for conceptual units, as opposed to conceptual relations. 5. Modify original definition of adjacency,...
... SFT transactions are material. A. Banks with IMM approval and Specific Interest Rate Risk VaR model34 approval for bonds: Advanced CVA risk capital charge 98. Banks with IMM approval for counterparty ... standardised CVA risk capital charge 104. When a bank does not have the required approvals to use paragraph 98 to calculate a CVA capital charge for its counterparties, the bank must calculate a portfolio ... Argentina, Australia, Belgium, Brazil, Canada, China, France, Germany, Hong Kong SAR, India, Indonesia, Italy, Japan, Korea, Luxembourg, Mexico, the Netherlands, Russia, Saudi Arabia, Singapore,...
... Natural language in-formation retrieval. Kluwer Academic PublishersDordrecht, NL.Bruce Croft and John Lafferty. 2003. Language Mod-eling forInformation Retrieval. Springer.Christopher D. Manning ... Church and Patrick Hanks. 1990. Wordassociation norms, mutual information, and lexicog-raphy. Computational Linguistics, 16(1):22–29.Mitchell P. Marcus, Beatrice Santorini, and Mary AnnMarcinkiewicz. ... 1992.Class-based n-gram models of natural language.Computational Linguistics, 18(4):467–479.Stephen Robertson, Steve Walker, Micheline Beaulieu,Mike Gatford,and A. Payne. 1995. Okapi at TREC-4....
... Center for the Study of Language and Information. Kracht, Marcus. 1995. Syntactic codes and gram- mar refinement. Journal of Logic, Language, and Information, 4:41-60. Manzini, Maria Rita. 1992. ... the realms of GPSG and GB. 1 Introduction Generative grammar and formal language theory share a common origin in a procedural notion of grammars: the grammar formalism provides a gen- eral ... of all analyses that can occur in human lan- guages. The principles then distinguish particular sub-languages the head-final or the pro-drop lan- guages, for instance. Each realized human language...
... useful for book indexing and automatic thesaurus extraction. 1 Introduction 1.1 InformationRetrieval Information retrieval (IR) is an important applica- tion area of naturaManguage processing ... The text database for an IR task is generally unrestricted natural-language text possibly en- compassing many different domains and top- ics. A parser must be able to manage the many kinds ... Text forInformationRetrieval David A. Evans, Chengxiang Zhai Laboratory for Computational Linguistics Carnegie Mellon Univeristy Pittsburgh, PA 15213 dae@cmu.edu, cz25@andrew.cmu.edu Abstract...
... Lexical Chain Features 4.1 Chain starts and ends We follow (Chan et al. 2007) to model the lexi-cal chain starts and ends at a story boundary with a statistical distribution. We apply a window ... of lexical chain starts and ends. We further extend this approach in two aspects: 1) a Bayesian decision framework is used; 2) chain continuations straddling across boundaries are taken into ... the ACL-IJCNLP 2009 Conference Short Papers, pages 265–268,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLPAutomatic Story Segmentation using a Bayesian Decision Framework for Statistical...
... standards that can be used to systematically evaluate and identify the vulnerabilities of the assets (personnel, hardware, software, information) , nonautomated procedures, processes, and information ... threat and vulnerability pairs that have the potential to cause significant mission impact or harm. Also, in safeguarding an organization’s mission and its IT systems, because of each organization’s ... subsequent management of the allowed actions fora given system (e.g., the information owner or the database administrator determines who can update a shared file accessed by a group of online...
... 2003. A categorial vari-ation database for english. In Proceedings of the NorthAmerican Association for Computational Linguistics.Houping Jia, Xiaojiang Huang, Tengfei Ma, XiaojunWan, and Jianguo ... 2007. A semantic approach to textualentailment: System evaluation and task analysis. InProceedings of the ACL-PASCAL Workshop on TextualEntailment and Paraphrasing.Peter Clark and Phil Harrison. ... Andrew MacKinlay and Timothy Baldwin. 2009. A baseline approach to the RTE5 search pilot. In Pro-ceedings of Text Analysis Conference (TAC).Debarghya Majumdar and Pushpak Bhattacharyya.2010....
... SIGKDD’02. P. Pantel and D. Ravichandran. 2004. Automatically labe-ling semantic classes. HLT/NAACL’04. P. Pantel, D. Ravichandran, and E. Hovy. 2004. Towards terascale knowledge acquisition. ... learning, semantic class learning, semantic relation classification, and relation extraction. The approaches fall into two main categories: pattern-based and clustering-based. Pattern-based ... learning separate information functions for terms at different abstraction levels. We approximate an information function by a linear interpolation of some underlying feature functions. Each...