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Interpretation as abduction

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TLDR
In this article, the TACITUS project at SRI developed an approach to abductive inference, called "weighted abduction" that has resulted in a significant simplification of how the problem of interpreting texts is conceptualized.
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This article is published in Artificial Intelligence.The article was published on 1993-10-01 and is currently open access. It has received 856 citations till now. The article focuses on the topics: Pragmatics & Abductive reasoning.

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The Description Logic Handbook

TL;DR: This introduction presents the main motivations for the development of Description Logics as a formalism for representing knowledge, as well as some important basic notions underlying all systems that have been created in the DL tradition.
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Indirect Speech Acts

TL;DR: It is shown how a formal semantictheory of discourse interpretation can be used to define speech acts and to avoid murky issues concerning the metaphysics of action.
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Actions and Events in Interval Temporal Logic

TL;DR: A representation of events and action based on interval temporal logic that is significantly more expressive and more natural than most previous AI approaches is presented.
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FASTUS: A Finite-state Processor for Information Extraction from Real-world Text.

TL;DR: FASTUS has been evaluated on several blind tests that demonstrate that state-of-the-art performance on information-extraction tasks is obtainable with surprisingly little computational effort.
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Presupposition and Assertion in Dynamic Semantics

David Beaver
TL;DR: Theories of Presupposition as discussed by the authors have been studied in the context of ABLE and the ABLE language. But they have not yet been applied to ABLE in ABLE.
References
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Journal ArticleDOI

Scorekeeping in a Language Game

TL;DR: It’s not as easy as you might think to say something that will be unacceptable for lack of required presuppositions, and straightway that presupposition springs into existence, making what you said acceptable after all.
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Introduction to Artificial Intelligence

TL;DR: In this article, an introduction to artificial intelligence is presented, including reasoning under uncertainty, robot plans, language understanding, and learning, and the history of the field as well as intellectual ties to related disciplines are presented.
Book

Logic for problem solving

TL;DR: This book investigates the application of logic to problem-solving and computer programming and assumes no previous knowledge of these fields, and may be Karl duncker in addition to make difficult fill one of productive.

The cognitive basis for linguistic structures

TL;DR: The authors explored the ways in which specific properties of language structure and speech behavior reflect certain general cognitive laws, and found that actual speech behavior is some regular function of the abstract linguistic structure originally isolated in linguistic investigations.
Frequently Asked Questions (6)
Q1. What are the contributions in this paper?

An approach to abductive inference developed in the TACITUS project has resulted in a dramatic simplification of how the problem of interpreting texts is conceptualized. It also suggests an elegant and thorough integration of syntax, semantics, and pragmatics. 

The relations r e / a n d nn are treated here as predicate variables, but they could be treated as predicate constants, in which case the authors would not have quantified over them. 

Implementations of different orders of interpretation, or different sorts of interaction among syntax, compositional semantics, and local pragmatics, can then be seen as different orders of search for a proof of s(O, n, e). 

In addition to type checking, the authors have introduced two other tevhnlques that are necessary for controlling the exploslon~unwinding recursive axioms and making use of syntactic noncoreference information. 

Syntax is captured in predicates like np, vp, and s. Compositional semantics is encoded in, for example, the way the predicat e p' is applied to its arguments in the first axiom, and in the lambda expression in the third argument of vp in the third axiom. 

The syntax portion is represented in standard Prolog manner, with nonterminals treated as predicates and having as two of its arguments the beginning and end points of the phrase spanned by the nonterminal.