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• W828877536 abstract "The paper discusses a new knowledge-based and sublanguage-oriented model for anaphora resolution, which integrates syntactic, semantic, discourse, domain and heuristical knowledge for the sublanguage of computer science. Special attention is paid to a new approach for tracking the center of a discourse segment, which plays an important role in proposing the most likely antecedent to the anaphor in case of ambiguity. INTRODUCTION Anaphora resolution is a complicated problem in computational linguistics. Considerable research has been done by computational linguists ([Carbonell & Brown 88], [Dahl & Ball 90], [Frederking & Gehrke 87], [Hayes 81], [Hobbs 78], [Ingria & Stallard 89], [Rich & LuperFoy 88], [Robert 89]), but no complete theory has emerged which offers a resolution procedure with success guaranteed. All approaches developed even if we restrict our attention to pronominal anaphora, which we will do throughout this paper from purely syntactic ones to highly semantic and pragmatic ones, only provide a partial treatment of the problem. Given the complexity of the problem, we think that to secure a comparatively successful handling of anaphora resolution one should adhere to the following principles: 1) restriction to a domain (sublanguage) rather than focus on a particular natural language as a whole; 2) maximal use of linguistic information integrating it into a uniform architecture by means of partial theories. Some more recent treatments of anaphora ([Carbonell & Brown 88], [Rich & LuperFoy 88]) do express the idea of multi-level approach, or distributed architecture, but their ideas a) do not seem to capture enough discourse and heuristical knowledge and b) do not concentrate on and investigate a concrete domain, and thus risk being too general. We have tried nevertheless to incorporate some of their ideas into our own proposals. THE ANAPHORA RESOLUTION MODEL Our anaphora resolution model integrates modules containing different types of knowledge syntactic, semantic, domain, discourse, heuristical and common sense/world knowledge. All the modules share a common representation of the current discourse. The syntactic module, for example, knows that the anaphor and antecedent must agree in number, gender and person. It checks if the c-command constraints hold and establishes disjoint reference. In cases of syntactic parallelism, it prefers the noun phrase with the same syntactic role as the anaphor, as the most probable antecedent. It knows when cataphora is possible and can indicate syntactically topicalized noun phrases, which are more likely to be antecedents than non-topicalized ones. The semantic module checks for semantic consistency between the anaphor and the possible antecedent. It filters out semantically incompatible candidates following the" @default.
• W828877536 created "2016-06-24" @default.
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• W828877536 date "1993-01-01" @default.
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• W828877536 title "A Knowledge-Based and Sublanguage-Oriented Model for Anaphora Resolution" @default.
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