Toward a Computational Theory of Indirect Speech Acts


Book Description

The variety of surface forms that may be used to convey a given speech act pose a major problem in modelling task-oriented (and other) dialogues. Many such forms are so-called indirect speech acts, that is, surface form does not correspond to the (or one) intended speech act. While this topic has received attention from linguists, their concerns have not usually been computationally motivated. In this paper, I present a non-computational analysis of indirect speech act forms with an eye to computational considerations. The paper is divided into two parts. Part 1 presents categories and rules for indirect speech acts, justified where possible by traditional linguistic arguments. The second part of the paper draws a set of computational implications from the material presented in Part 1. This is done within the general framework of a process model of recognition. Part 2 contains a discussion of the basic types of mechanisms needed for the classes of indirect speech act identified in Part 1. The discussion includes an examination of the dependencies between processes and an initial categorization of the types of knowledge that must be considered in interpreting indirect speech acts. (Author).










Language, Mind, and Brain


Book Description

The chapters in this volume are extended versions of material first presented at the National Interdisciplinary Symposium on Language, Mind, and Brain held April 6-9, 1978, in Gainesville, Florida. First published in 1982. Routledge is an imprint of Taylor & Francis, an informa company.




Semantic Interpretation and the Resolution of Ambiguity


Book Description

Semantic interpretation and the resolution of ambiguity presents an important advance in computer understanding of natural language. While parsing techniques have been greatly improved in recent years, the approach to semantics has generally improved in recent years, the approach to semantics has generally been ad hoc and had little theoretical basis. Graeme Hirst offers a new, theoretically motivated foundation for conceptual analysis by computer, and shows how this framework facilitates the resolution of lexical and syntactic ambiguities. His approach is interdisciplinary, drawing on research in computational linguistics, artificial intelligence, montague semantics, and cognitive psychology.




Planning English Sentences


Book Description

An investigation into the problems of generating natural language utterances to satisfy specific goals the speaker has in mind.







Pragmatics at Issue


Book Description

This volume comprises the first part of selected papers of the International Pragmatics Conference in Antwerp, August 1987.




Understanding Language


Book Description

This textbook is intended for graduate students in computer science and linguistics who are interested in developing expertise in natural language processing (NLP) and in those aspects of artificial intelligence which are concerned with computer models oflanguage comprehension. The text is somewhat different from a number of other excellent textbooks in that its foci are more on the linguistic and psycho linguistic prerequisites and on foundational issues concerning human linguistic behavior than on the description of the extant models and algorithms. The goal is to make the student, undertaking the enormous task of developing computer models for NLP, well aware of the major diffi culties and unsolved problems, so that he or she will not begin the task (as it has often been done) with overoptimistic hopes or claims about the generalizability of models, when such hopes and claims are incon sistent either with some aspects of the formal theory or with known facts about human cognitive behavior. Thus, I try to enumerate and explain the variety of cognitive, linguistic, and pragmatic data which must be understood and formalized before they can be incorporated into a computer model.




The Oxford Handbook of Computational Linguistics


Book Description

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.