126 citations · 158 across the 5 of their papers we have counts for
5 papers · 1 filter
Probabilistic Event Categorization
Janyce Wiebe, Rebecca Bruce, Lei Duan
This paper describes the automation of a new text categorization task. The categories assigned in this task are more syntactically, semantically, and contextually complex than thos…
Distinguishing Word Senses in Untagged Text
Ted Pedersen, Rebecca Bruce
This paper describes an experimental comparison of three unsupervised learning algorithms that distinguish the sense of an ambiguous word in untagged text. The methods described in…
Sequential Model Selection for Word Sense Disambiguation
Ted Pedersen, Rebecca Bruce, Janyce Wiebe
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set…
The Measure of a Model
Rebecca Bruce, Janyce Wiebe, Ted Pedersen
This paper describes measures for evaluating the three determinants of how well a probabilistic classifier performs on a given test set. These determinants are the appropriateness,…
Word-Sense Disambiguation Using Decomposable Models
Rebecca Bruce, Janyce Wiebe
Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize…