R. Bruce and J. Wiebe. A new approach to word sense disambiguation. In Proceedings of the ARPA Workshop on Human Language Technology, pages 236-241, Plainsboro, N J, March 1994. Home/Search Document Details and Download
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POS Tagging Using Relaxation Labelling - Padró (1996) (1 citation) (Correct)
....includes lexical statistics (computing mutual information, relative entropy, or merely frequencies of words and senses. Miller et al. 93] and lexical distributions (computing and comparing distribution of senses respect to a context, which may be global [Yarowsky 92] or local [Yarowsky 93, Bruce Wiebe 94] See [Resnik 93, Ribas 95] for clear overviews. Results vary from 60 (lower bound established by [Miller et al. 94] to 90 95 (like in [Yarowsky 93, Bruce Wiebe 94] depending on the kind of knowledge used (statistical, taxonomy. the granularity of labels assigned (ranging from ....
....(computing and comparing distribution of senses respect to a context, which may be global [Yarowsky 92] or local [Yarowsky 93, Bruce Wiebe 94] See [Resnik 93, Ribas 95] for clear overviews. Results vary from 60 (lower bound established by [Miller et al. 94] to 90 95 (like in [Yarowsky 93, Bruce Wiebe 94] depending on the kind of knowledge used (statistical, taxonomy. the granularity of labels assigned (ranging from coarse grained like topic identifiers or word classes in a taxonomy to more fine grained such as dictionary thesaurus entries or taxonomy nodes) and the performed experiments ....
Bruce, R.; Wiebe, J.; A New Approach to Word Sense Disambiguation. Proceedings ARPA 1994
The Measure of a Model - Brucet, Wiebe, Pedersen (1996) Self-citation (Wiebe) (Correct)
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R. Bruce and J. Wiebe. A new approach to word sense disambiguation. In Proceedings of the ARPA Workshop on Human Language Technology, pages 236-241, Plainsboro, N J, March 1994.
Towards the Acquisition and Representation of a Broad-Coverage .. - Bruce, Wiebe (1995) Self-citation (Rebecca Janyce) (Correct)
....model is specified. The final tool is a technique for resolving multiple, mutuallyconstraining ambiguities in graphical models. Model Selection Part of the lexicon will be derived statistically from training data. To do this, an appropriate probabilistic model must be formulated. In previous work (Bruce and Wiebe 1994ab) we used a method for model formulation that selects informative contextual features and identifies the decomposable model (a kind of graphical model) that is the best approximation to the joint distribution of word senses and these features. Here we describe improvements to our method that ....
Bruce, Rebecca and Wiebe, Janyce (1994a). A New Approach to Word-Sense Disambiguation. Proc. ARPA Human Language Technology Workshop. March 1994.
Probabilistic Classifiers for Tracking Point of View - Wiebe, Bruce Self-citation (Bruce Wiebe) (Correct)
....reference resolution, and belief. Specifically, the problem is to segment a text into blocks such that all subjective sentences in a block are from the point of view of the same agent, and to identify noun phrases that refer to that agent. In our method for developing classifiers (Bruce Wiebe 1994ab) rather than making assumptions about which variables to use and how they are related, statistical techniques are used to explore these questions empirically. Further, the types of models used in this work can express complex relationships among diverse sets of variables. This work is ....
....set of classes, the one that is most probable according to a probabilistic model. The model expresses the relationships among the classification variable and variables that correspond to properties of the ambiguous object and the context in which it occurs. In our method for developing classifiers (Bruce Wiebe 1994ab) rather than making assumptions about which variables to use and how they are related, statistical techniques are used to explore these questions empirically. Further, the types of models used in this work can express complex relationships among diverse sets of variables. These advantages are ....
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Bruce, R. & Wiebe, J. 1994a. A New Approach To Word Sense Disambiguation. In Procs. 1994 ARPA Human Language Technology Workshop, pp. 236-241. Bruce, R. & Wiebe, J. 1994b. Word-Sense Disambiguation Using Decomposable Models. In Procs. 32nd Annual Meeting of the Assoc. for Computational Linguistics (ACL--94), pp. 139-146.
Methods of Category Classification Applied to Word-Sense.. - Wiebe, Bruce (1996) Self-citation (Bruce Wiebe) (Correct)
....integration of modules for various AI tasks. Statistical approaches to NLP are typically limited to simple models that include only a small number of immediately surrounding non classification variables. The proposed work will extend our previous work in addressing these limitations [11] [12], 13] Exploiting recent developments in applied statistics, we will use a richer class of statistical models than is typically used in NLP, along with a set of tools for: 1) fitting such models to the data, 2) estimating the parameters of the chosen model from untagged data, and (3) resolving ....
....The third extension will enhance the capabilities of the method, enabling us to resolve interdependent ambiguities. We first provide background, describing the classes of models used in this work (in section 1.1. 1) and describing our previous work in developing probabilistic classifiers [11] [12], 13] in section 1.1.2) Then we describe our proposed extensions to the method (in section 1.2) 1.1 Background 1.1.1 Graphical Models In this work, we propose to make use of a more general class of models than previously used in most NLP applications (graphical models, 65] Such models are ....
[Article contains additional citation context not shown here]
Bruce, R. and Wiebe, J. (1994a). A New Approach to Word Sense Disambiguation. Procs. 1994 ARPA Human Language Technology Workshop, pp. 236-241.
The Measure of a Model - Bruce, Wiebe, Pedersen (1996) (1 citation) Self-citation (Wiebe) (Correct)
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R. Bruce and J. Wiebe. A new approach to word sense disambiguation. In Proceedings of the ARPA Workshop on Human Language Technology, pages 236--241, Plainsboro, NJ, March 1994.
An approach to Robust Partial Parsing and Evaluation.. - Srinivas, Doran, Hockey.. (1996) (4 citations) (Correct)
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Rebecca Bruce and Janyce Wiebe. A New Approach to Word Sense Disambiguation. In Proceedings from the ARPA Workshop on Human Language Technology Workshop, March 1994.
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Bruce, R. and Wiebe, J. 1994a. "A new approach to word sense disambiguation, " Proc. 1994 ARPA Human Language Technology Workshop: 236-241.
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