Computational aspects of discourse in the context of MUC-3

Iwanska, Lucja; Appelt, Douglas E.; Ayuso, Damaris; Dahlgren, Kathy; Stalls, Bonnie Glover; Grishman, Ralph; Krupka, George; Montgomery, Christine A.; Riloff, Ellen

doi:10.3115/1071958.1071998

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…2. Discourse processing: Computing certain common types of discourse structures for a large volume of newspaper articles, largely based on weak methods of resolving definite anaphora (Iwańska 1991;Iwańska et al 1991).…”

Section: Research Problems Motivating the Modelmentioning

confidence: 99%

Reasoning with Intensional Negative Adjectivals: Semantics, Pragmatics, and Context

Iwanska

1997

Computational Intelligence

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Intensional negative adjectives alleged, artificial, fake, false, former, and toy are unusual adjectives that depending on context may or may not be restricting functions. A formal theory of their semantics, pragmatics, and context that uniformly accounts for their complex mathematical and computational characteristics and captures some peculiarities of individual adjectives is presented.Such adjectives are formalized as new concept builders, negation-like functions that operate on the values of intensional properties of the concepts denoted by their arguments and yield new concepts whose intensional properties have values consistent with the negation of the old values. Understanding these new concepts involves semantics, pragmatics and context-dependency of natural language. It is argued that intensional negative adjectives can be viewed as a special-purpose, weaker, context-dependent negation in natural language. The theory explains and predicts many inferences licensed by expressions involving such adjectives. Implementation of sample examples demonstrates its computational feasibility. Computation of context-dependent interpretation is discussed.The theory allows one to enhance a knowledge representation system with similar concept building, negationlike, context-dependent functions, the availability of which appears to be a distinct characteristic of natural languages.

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Section: Research Problems Motivating the Modelmentioning

confidence: 99%

Reasoning with Intensional Negative Adjectivals: Semantics, Pragmatics, and Context

Iwanska

1997

Computational Intelligence

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“…It contains some very tricky de nite anaphoras, which did not turn problematic for the heuristics embedded in my algorithm. Below I show the segmentation of the pear story produced independently by four human subjects in the experiments Litman and Passonneau, 1993] and the structure produced by my algorithm.…”

Section: Heuristics Are So Hard To Beat !mentioning

confidence: 99%

Recovering nonlinearly distributed knowledge: Computing discourse structure in factual reports

Lstrok

Iwańska

1997

Nat. Lang. Eng.

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This paper presents a new type of nonlinear discourse structure found to be very common in free English texts. This structure reflects nonlinear presentation of the information and knowledge conveyed by the texts. It is argued that such nonlinearity is representationally and informationally advantageous because it allows one to create smaller, more compact texts. The paper presents a heuristics-based, relatively domain-independent algorithm for computing this new text structure. The paper discusses good quantitative and qualitative performance of the algorithm, and presents the results of the extensive tests on a large volume of free English texts.

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“…Currently only terrorist incidents (and "possible terrorist incidents") generate discourse events, since these are the core events for MUC-4 template generation . The discourse component was further discussed in [1] . Two primary structures are created by the discourse processo r which are used by the template generator : the discourse predicate database and the event structure .…”

Section: Discourse Processingmentioning

confidence: 99%