By Harry Bunt, William Black
Language is often generated and interpreted in a undeniable context, and the semantic, syntactic, and lexical houses of linguistic expressions mirror this. Interactive language realizing structures, corresponding to language-based discussion platforms, for that reason need to observe contextual details to interpret their inputs and to generate applicable outputs, yet are in perform very bad at this. This ebook incorporates a variety of reviews in Computational Pragmatics, the newly rising box of research of ways contextual details may be successfully delivered to endure in language realizing and new release. a few of the chapters focus on the conceptual, formal and computational modeling of context normally, of the correct ideals of debate contributors particularly, and of the reasoning that could be utilized to narrate linguistic phenomena to features of the discussion context.
These matters are mentioned either from a theoretical standpoint and relating to their roles in prototypical language figuring out systems.
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Extra resources for Abduction, Belief and Context in Dialogue: Studies in computational pragmatics
4 PLUS and DenK The Esprit project PLUS ('Pragmatics-based Language Understanding Sys tem') started from the point of view that the robustness of language under standing systems could benefit greatly from taking contextual information into account in order to deal with linguistic imperfections, unanticipated 32 HARRY BUNT and BILL BLACK constructions, unknown or misspelled words, etc. This view was incorpo rated in a design where a logical form language was defined for underspecified representation (ULF, Geurts and Rentier 1993) and an HPSG grammar was developed producing such forms as intermediate semantic representa tions (Verlinden, 1998).
W. Bronnenberg, H. Bunt, J. Landsbergen, R. Scha, W. Schoen makers and E. van Utteren(1975). PHLIQA 1: Multilevel semantics in ques tion answering. American Journal of Computational Linguistics microfiche 32. Moore, R. (1973). D-SCRIPT: A computational theory of description. In Pro ceedings of 1977 International Joint Conference on Artificial Intelligence, 223-227. Moore, R. (1980). Reasoning about knowledge and action. SRI Artificial Intel ligence Center Technical Note 191, Menlo Park, CA.
Planning discourses involves being able to predict when this kind of inexplicitness will work. In their chapter, Oberlander and Lascarides claim that defeasible deduction is more suitable to interpretation whilst abduction has a role in planning. Their defeasible deduction reason ing schema has a rule (the 'penguin principle1) that prefers the defeasible implication that has the more specific antecedent in case of a conflict. The explanation discourse relation being more specific in this way than narra- THE ABC OF COMPUTATIONAL PRAGMATICS 39 tion, and applicable here because the two eventualities have a common key event, it is inferred in the above example.