Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996. Home/Search Document Details and Download
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A Hybrid Approach Robust Text Analysis - Ballim, Coray, Pallotta (Correct)
....is naturally to think of fuzzy models of language. Fuzzy set theory and hence Fuzzy Logic applied to language processing (see [LZ69] seems to be a promising approach (and has already been investigated in [Asv96] Recently, fuzzy reasoning has been partially integrated into a CLP paradigm (see [Rie96] in order to deal with so called soft constraints in weighted constraint logic grammars. Enhancement of linguistic theories Robustness in linguistic formalisms can be considered as an attempt to model directly general extra grammatical phenomena within a linguistic theory. A solution envisioned ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996.
ISIS Project: Final Report - Chappelier, Rajman, Bouillon.. (1999) (Correct)
....sense. Changing perspective and considering language just as an uncertain and imprecise phenomenon and understanding as a perception process, it is natural to think of fuzzy models of language (see [15] and [6] Recently, fuzzy reasoning has been partially integrated into a CLP paradigm (see [18]) in order to deal with so called soft constraints in weighted constraint logic grammars. We tried to get some inspiration from the above proposal for integrating fuzzy logic and parsing to compute weights to assign to each frame filling hypotheses. Each LHIP rule returns a confidence factor ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996.
CLELIA Computational Logics Environment for natural Language.. - Pallotta (1998) (Correct)
....it is naturally to think of ifuzzyj models of language. Fuzzy set theory and hence Fuzzy Logic applied to language processing (see [22] seems to be a promising approach (and has already been investigated in [5] Recently, fuzzy reasoning has been partially integrated into a CLP paradigm (see [29]) in order to deal with so called soft constraints in weighted constraint logic grammars. Enhancement of linguistic theories Robustness in linguistic formalisms can be considered as an attempt to model directly general extra grammatical phenomena within a linguistic theory. A solution envisioned ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996.
HERALD: Hybrid Environment for Robust Analysis of Language.. - Ballim, Coray, Pallotta (1999) (Correct)
....is naturally to think of fuzzy models of language. Fuzzy set theory and hence Fuzzy Logic applied to language processing (see [LZ69] seems to be a promising approach (and has already been investigated in [Asv96] Recently, fuzzy reasoning has been partially integrated into a CLP paradigm (see [Rie96] in order to deal with so called soft constraints in weighted constraint logic grammars. 12 Enhancement of linguistic theories Robustness in linguistic formalisms can be considered as an attempt to model directly general extra grammatical phenomena within a linguistic theory. A solution ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996.
Semantic Robust Parsing for Noun Extraction From Natural.. - Ballim, Pallotta (1999) (1 citation) (Correct)
....sense. Changing perspective and considering language just as an uncertain and imprecise phenomenon and understanding as a perception process, it is naturally to think of fuzzy models of language (see [13] and [4] Recently, fuzzy reasoning has been partially integrated into a CLP paradigm (see [15]) in order to deal with so called soft constraints in weighted constraint logic grammars. We tried to get some inspiration from the above proposal for integrating fuzzy logic and parsing to compute weights to assign to each frame lling hypotheses. Each LHIP rule returns a con dence factor ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. In Logical Aspects of Computational Linguistics (LACL'96), LNCS. Springer, 1996.
Stochastic Attribute-Value Grammars - Abney (1997) (41 citations) (Correct)
....of constraint based grammars, and to estimate the parameters of those models. Other authors have assigned weights or preferences to constraint based grammars but not discussed parameter estimation. One approach of the latter sort that I find of particular interest is that of Stefan Riezler [6], who describes a weighted logic for constraint based grammars that characterizes the languages of the grammars as fuzzy sets. This interpretation avoids the need for normalization that Brew and Eisele face, though parameter estimation still remains to be addressed. that his way of dealing with ....
Stefan Riezler. Quantitative constraint logic programming for weighted grammar applications. Talk given at LACL, September 1996.
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