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Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Fluents are logical descriptions of situations that persist, andcompositefluents are statistically significant temporal relationships(nearlyidentical withthosein Allen’stemporal...