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after your horrible mistakes, then you can sleep through the part where you re supposed to learn something You can just keep on making mistakes and avoiding the consequences Running out of the diner is just an excuse to avoid confrontation with your worst self If you go home and nap again, you might never wake up Sure, you won t sleep forever in the bed But you ll be a walking zombie This experience will scar you forever, and you ll never take responsibility for your financial future ME: Harvey, I don t have any money left to trade with I lost five thousand dollars in a matter of minutes today There is no way that my wife is going to forgive me for that I don t have a financial future I gave all the possible trading capital that I have to my currency dealer.

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The instance base of KIM has been pre-populated with 200 000 entities of general importance that occur frequently in documents. The majority are different kinds of locations: continents, countries, cities, etc. Each location has geographic co-ordinates and several aliases (usually including English, French, Spanish and sometimes the local transcription of the location name) as well as co-positioning relations (e.g., subRegionOf.). The difference between TAP and KIM instance base is in the level of ambiguity TAP has few entities sharing the same alias, while KIM has a lot more, due to its richer collection of locations. Another important difference between KIM and SemTag is their goal. SemTag aims only at accurate classi cation of the mentions that were found by matching the lexicalisations in the ontology. KIM, on the other hand, is also aiming at nding all mentions, that is coverage, as well as accuracy. The latter is a harder task because there tends to be a trade-off between accuracy and coverage. In addition, SemTag does not attempt to discover and classify new instances, which are not already in the TAP ontology. In other words, KIM performs two tasks ontology population with new instances and semantic annotation, while SemTag performs only semantic annotation.

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2 CB : Consonant Broadcasting GCB : Grouped Consonant Broadcasting CB, m=1 CB, m=2 CB, m=4 CB, m=16

Sure, we have some additional savings, but I can t use that now I can t be trusted with that money We need that money to live on I can t believe how fast I let it go It disappeared so fast I can t even talk about it HARVEY: Harry, sit here on the curb and talk to me for just a few moments ME: [silence] HARVEY: That s better That s the reasonable Harry Banes that I know ME: [silence] HARVEY: Maybe that was the last trading you ll ever do That s a possibility But I gotta talk to you about this You ve got to come to terms with what happened ME: Okay I m willing to do that I am willing to listen HARVEY: First of all, let s look at what just happened in the restaurant.

KIM has a number of different front-end user interfaces and ones customised for speci c applications are easily added. These front-ends provide full access to KIM functionality, including semantic indexing, semantic repositories, metadata annotation services and document and metadata management. Some example front-ends appear below. The KIM plug-in for Internet Explorer2 provides lightweight delivery of semantic annotations to the end user. On its rst tab, the plug-in displays the ontology and each class has a color used for highlighting the metadata of this type. Classes of interest are selected by the user via check boxes. The user requests the semantic annotation of the currently viewed page by pressing the Annotate button. The KIM server returns the automatically created metadata with its class and instance identi ers. The results are highlighted in the browser window, and are hyperlinked to the KIM Explorer, which displays further information from the ontology about a given instance (see top right window). The text boxes on the bottom right of Figure 3.3 that contain the type and unique identi er are seen as tool-tips when the cursor is positioned over a semantically annotated entity. Selecting the Entities tab of the plug-in generates a list of entities recognised in the current document, sorted by frequency of appearance, as shown in Figure 3.4. This tab also has an icon to execute a semantic

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query. The result is then shown as a list of documents. The goal is to enable users, while browsing and annotating, to nd seamlessly other related documents by selecting one or more entities from the current document. Another front-end is the KIM Web UI, which offers a powerful semantic search interface. This facet of KIM s capabilities is discussed further in 8.

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