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Unsupervised Concept Annotation using Latent Dirichlet Allocation and Segmental Methods

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Figure

Figure 1: Semantic concept representation for the query “give me the rate since I’d like a room charged not more thanfifty euros”.
Figure 1: Graphical model representation of LDA. The boxes are “plates” representing replicates.The outer plate represents documents, while the inner plate represents the repeated choiceof topics and words within a document.Figure 2: Graphical representati
Table 1: Proportion of user utterances as a function of thenumber of concepts in the utterance.
Figure 3: F-measure of the high-level concept generationas a function of the number of topics.
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