Sentence examples for cluster of utterances from inspiring English sources

It can be shown [38] that the multiplicity of the eigenvalue 0 for L ^, the normalized Laplacian matrix of M ^, equals the number of disjoint connected components in G, which can be identified as clusters in D. A cluster of utterances found via spectral clustering algorithm is identified as a DA.

We apply the recently-proposed spectral clustering algorithm[38] to cluster utterances in the training set.

Let n ij be the accumulated count that DR R i occurs in the utterance cluster of A j. From n ij, a probability function of DA conditional on DR is defined as follows γ i j = P ^ ( DA = A j | DR = R i )   ≜  n i j ∑ j ′ = 1 q n i j ′, i = 1, …, l, j = 1, …, q. (15).

Yerushalmy really did present a multiplicity of utterances.

We argue that the embedding of utterances in a coherent discourse context is as important for recognizing and interpreting metonymic utterances as intrasentential semantic constraints.

Different theorists have focused on different properties of utterances.

The total number of utterances was 400.

We can then, by observing, cluster the utterances into 10 groups as shown in Table 5.

% = percent of total number of utterances.

Social stress was mentioned by parents (2% of utterances) but rarely by clinicians (utterances = 3, <1%).

The frequency of utterances for each individual factor was tabulated.