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Proceedings of the Textinfer 2011 Workshop on Applied Textual
EMNLP 2011 TextInfer 2011 Workshop on Textual Entailment Proceedings of the Workshop July 30, 2011 Edinburgh, Scotland, UK c 2011 The Association for Computational Linguistics Order copies of this and other ACL proceedings from: Association for Computational Linguistics (ACL) 209 N. Eighth Street Stroudsburg, PA 18360 USA Tel: +1-570-476-8006 Fax: +1-570-476-0860 [email protected] ISBN 978-1-937284-15-2 / 1-937284-15-8 ii Introduction Textual inference and paraphrase have attracted a significant amount of attention in recent years. Many NLP tasks, including question answering, information extraction, and text summarization, can be mapped at least partially onto the recognition of textual entailments and the detection of semantic equivalence between texts. Robust and accurate algorithms and resources for inference and paraphrasing can be beneficial for a broad range of NLP applications, and have stimulated research in the area of applied semantics over the last years. The success of the Recognizing Textual Entailment challenges and the high participation in previous workshops on textual inference and paraphrases – Empirical Modeling of Semantic Equivalence and Entailment (ACL 2005), Textual Entailment and Paraphrasing (ACL/PASCAL 2007), and TextInfer 2009 (ACL) – show that there is substantial interest in the area among the research community. TextInfer 2011 follows these workshops and aims to provide a common forum for researchers to discuss and compare novel ideas, models and tools for textual inference and paraphrasing. One particular goal is to broaden the workshop to invite both theoretical and applied research contributions on the joint topic of “inference.” We aim to bring together empirical approaches, which have tended to dominate previous textual entailment events, with formal approaches to inference, which are more often presented at events like ICoS or IWCS. -
A Guide to Dynamic Semantics
A Guide to Dynamic Semantics Paul Dekker ILLC/Department of Philosophy University of Amsterdam September 15, 2008 1 Introduction In this article we give an introduction to the idea and workings of dynamic se- mantics. We start with an overview of its historical background and motivation in this introductory section. An in-depth description of a paradigm version of dynamic semantics, Dynamic Predicate Logic, is given in section 2. In section 3 we discuss some applications of the dynamic kind of interpretation to illustrate how it can be taken to neatly account for a vast number of empirical phenom- ena. In section 4 more radical extensions of the basic paradigm are discussed, all of them systematically incorporating previously deemed pragmatic aspects of meaning in the interpretational system. Finally, a discussion of some more general, philosophical and theoretical, issues surrounding dynamic semantics can be found in section 5. 1.1 Theoretical Background What is dynamic semantics. Some people claim it embodies a radical new view of meaning, departing from the main logical paradigm as it has been prominent in most of the previous century. Meaning, or so it is said, is not some object, or some Platonic entity, but it is something that changes information states. A very simple-minded way of putting the idea is that people uses languages, they have cognitive states, and what language does is change these states. “Natu- ral languages are programming languages for minds”, it has been said. Others build on the assumption that natural language and its interpretation is not just concerned with describing an independently given world, but that there are lots of others things relevant in the interpretation of discourse, and lots of other functions of language than a merely descriptive one. -
Referential Dependencies Between Conflicting Attitudes
J Philos Logic DOI 10.1007/s10992-016-9397-7 Referential Dependencies Between Conflicting Attitudes Emar Maier1 Received: 18 June 2015 / Accepted: 23 March 2016 © The Author(s) 2016. This article is published with open access at Springerlink.com Abstract A number of puzzles about propositional attitudes in semantics and phi- losophy revolve around apparent referential dependencies between different attitudes within a single agent’s mental state. In a series of papers, Hans Kamp (2003. 2015) offers a general framework for describing such interconnected attitude complexes, building on DRT and dynamic semantics. I demonstrate that Kamp’s proposal cannot deal with referential dependencies between semantically conflicting attitudes, such as those in Ninan’s (2008) puzzle about de re imagination. To solve the problem I propose to replace Kamp’s treatment of attitudes as context change potentials with a two-dimensional analysis. Keywords Propositional attitudes · Hans Kamp · Ninan’s puzzle · DRT · Dynamic semantics 1 Three puzzles about dependent attitudes Detective Mary investigates a mysterious death. She thinks the deceased was mur- dered and she hopes that the murderer is soon caught and arrested. A standard Emar Maier [email protected] 1 University of Groningen, Oude Boteringestraat 52, 9712GL Groningen, The Netherlands E. Maier analysis of definite descriptions and of hope as a propositional attitude gives us two different ways of characterizing Mary’s hope that the murderer is arrested (Quine [24]):1 ∃ ∀ ↔ = ∧ (1) a. de dicto : HOPE m x y murderer(y) x y arrested(x) b. de re : ∃x ∀y murderer(y) ↔ x = y ∧ HOPEmarrested(x) Neither of these logical forms captures what’s going on in the scenario. -
Chapter 3 Describing Syntax and Semantics
Chapter 3 Describing Syntax and Semantics 3.1 Introduction 110 3.2 The General Problem of Describing Syntax 111 3.3 Formal Methods of Describing Syntax 113 3.4 Attribute Grammars 128 3.5 Describing the Meanings of Programs: Dynamic Semantics 134 Summary • Bibliographic Notes • Review Questions • Problem Set 155 CMPS401 Class Notes (Chap03) Page 1 / 25 Dr. Kuo-pao Yang Chapter 3 Describing Syntax and Semantics 3.1 Introduction 110 Syntax – the form of the expressions, statements, and program units Semantics - the meaning of the expressions, statements, and program units. Ex: the syntax of a Java while statement is while (boolean_expr) statement – The semantics of this statement form is that when the current value of the Boolean expression is true, the embedded statement is executed. – The form of a statement should strongly suggest what the statement is meant to accomplish. 3.2 The General Problem of Describing Syntax 111 A sentence or “statement” is a string of characters over some alphabet. The syntax rules of a language specify which strings of characters from the language’s alphabet are in the language. A language is a set of sentences. A lexeme is the lowest level syntactic unit of a language. It includes identifiers, literals, operators, and special word (e.g. *, sum, begin). A program is strings of lexemes. A token is a category of lexemes (e.g., identifier). An identifier is a token that have lexemes, or instances, such as sum and total. Ex: index = 2 * count + 17; Lexemes Tokens index identifier = equal_sign 2 int_literal * mult_op count identifier + plus_op 17 int_literal ; semicolon CMPS401 Class Notes (Chap03) Page 2 / 25 Dr. -
A Dynamic Semantics of Single-Wh and Multiple-Wh Questions*
Proceedings of SALT 30: 376–395, 2020 A dynamic semantics of single-wh and multiple-wh questions* Jakub Dotlacilˇ Floris Roelofsen Utrecht University University of Amsterdam Abstract We develop a uniform analysis of single-wh and multiple-wh questions couched in dynamic inquisitive semantics. The analysis captures the effects of number marking on which-phrases, and derives both mention-some and mention-all readings as well as an often neglected partial mention- some reading in multiple-wh questions. Keywords: question semantics, multiple-wh questions, mention-some, dynamic inquisitive semantics. 1 Introduction The goal of this paper is to develop an analysis of single-wh and multiple-wh questions in English satisfying the following desiderata: a) Uniformity. The interpretation of single-wh and multiple-wh questions is derived uniformly. The same mechanisms are operative in both types of questions. b) Mention-some vs mention-all. Mention-some and mention-all readings are derived in a principled way, including ‘partial mention-some readings’ in multiple-wh questions (mention-all w.r.t. one of the wh-phrases but mention-some w.r.t. the other wh-phrase). c) Number marking. The effects of number marking on wh-phrases are captured. In particular, singular which-phrases induce a uniqueness requirement in single-wh questions but do not block pair-list readings in multiple-wh questions. To our knowledge, no existing account fully satisfies these desiderata. While we cannot do justice to the rich literature on the topic, let us briefly mention a number of prominent proposals. Groenendijk & Stokhof(1984) provide a uniform account of single-wh and multiple-wh ques- tions, but their proposal does not successfully capture mention-some readings and the effects of number marking. -
Free Choice and Homogeneity
Semantics & Pragmatics Volume 12, Article 23, 2019 https://doi.org/10.3765/sp.12.23 This is an early access version of Goldstein, Simon. 2019. Free choice and homogeneity. Semantics and Prag- matics 12(23). 1–47. https://doi.org/10.3765/sp.12.23. This version will be replaced with the final typeset version in due course. Note that page numbers will change, so cite with caution. ©2019 Simon Goldstein This is an open-access article distributed under the terms of a Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/). early access Free choice and homogeneity* Simon Goldstein Australian Catholic University Abstract This paper develops a semantic solution to the puzzle of Free Choice permission. The paper begins with a battery of impossibility results showing that Free Choice is in tension with a variety of classical principles, including Disjunction Introduction and the Law of Excluded Middle. Most interestingly, Free Choice appears incompatible with a principle concerning the behavior of Free Choice under negation, Double Prohibition, which says that Mary can’t have soup or salad implies Mary can’t have soup and Mary can’t have salad. Alonso-Ovalle 2006 and others have appealed to Double Prohibition to motivate pragmatic accounts of Free Choice. Aher 2012, Aloni 2018, and others have developed semantic accounts of Free Choice that also explain Double Prohibition. This paper offers a new semantic analysis of Free Choice designed to handle the full range of impossibility results involved in Free Choice. The paper develops the hypothesis that Free Choice is a homogeneity effect. -
Chapter 3 – Describing Syntax and Semantics CS-4337 Organization of Programming Languages
!" # Chapter 3 – Describing Syntax and Semantics CS-4337 Organization of Programming Languages Dr. Chris Irwin Davis Email: [email protected] Phone: (972) 883-3574 Office: ECSS 4.705 Chapter 3 Topics • Introduction • The General Problem of Describing Syntax • Formal Methods of Describing Syntax • Attribute Grammars • Describing the Meanings of Programs: Dynamic Semantics 1-2 Introduction •Syntax: the form or structure of the expressions, statements, and program units •Semantics: the meaning of the expressions, statements, and program units •Syntax and semantics provide a language’s definition – Users of a language definition •Other language designers •Implementers •Programmers (the users of the language) 1-3 The General Problem of Describing Syntax: Terminology •A sentence is a string of characters over some alphabet •A language is a set of sentences •A lexeme is the lowest level syntactic unit of a language (e.g., *, sum, begin) •A token is a category of lexemes (e.g., identifier) 1-4 Example: Lexemes and Tokens index = 2 * count + 17 Lexemes Tokens index identifier = equal_sign 2 int_literal * mult_op count identifier + plus_op 17 int_literal ; semicolon Formal Definition of Languages • Recognizers – A recognition device reads input strings over the alphabet of the language and decides whether the input strings belong to the language – Example: syntax analysis part of a compiler - Detailed discussion of syntax analysis appears in Chapter 4 • Generators – A device that generates sentences of a language – One can determine if the syntax of a particular sentence is syntactically correct by comparing it to the structure of the generator 1-5 Formal Methods of Describing Syntax •Formal language-generation mechanisms, usually called grammars, are commonly used to describe the syntax of programming languages. -
Static Vs. Dynamic Semantics (1) Static Vs
Why Does PL Semantics Matter? (1) Why Does PL Semantics Matter? (2) • Documentation • Language Design - Programmers (“What does X mean? Did - Semantic simplicity is a good guiding G54FOP: Lecture 3 the compiler get it right?”) Programming Language Semantics: principle - Implementers (“How to implement X?”) Introduction - Ensure desirable meta-theoretical • Formal Reasoning properties hold (like “well-typed programs Henrik Nilsson - Proofs about programs do not go wrong”) University of Nottingham, UK - Proofs about programming languages • Education (E.g. “Well-typed programs do not go - Learning new languages wrong”) - Comparing languages - Proofs about tools (E.g. compiler correctness) • Research G54FOP: Lecture 3 – p.1/21 G54FOP: Lecture 3 – p.2/21 G54FOP: Lecture 3 – p.3/21 Static vs. Dynamic Semantics (1) Static vs. Dynamic Semantics (2) Styles of Semantics (1) Main examples: • Static Semantics: “compile-time” meaning Distinction between static and dynamic • Operational Semantics: Meaning given by semantics not always clear cut. E.g. - Scope rules Abstract Machine, often a Transition Function - Type rules • Multi-staged languages (“more than one mapping a state to a “more evaluated” state. Example: the meaning of 1+2 is an integer run-time”) Kinds: value (its type is Integer) • Dependently typed languages (computation - small-step semantics: each step is • Dynamic Semantics: “run-time” meaning at the type level) atomic; more machine like - Exactly what value does a term evaluate to? - structural operational semantics (SOS): - What are the effects of a computation? compound, but still simple, steps Example: the meaning of 1+2 is the integer 3. - big-step or natural semantics: Single, compound step evaluates term to final value. -
Analyticity, Necessity and Belief Aspects of Two-Dimensional Semantics
!"# #$%"" &'( ( )#"% * +, %- ( * %. ( %/* %0 * ( +, %. % +, % %0 ( 1 2 % ( %/ %+ ( ( %/ ( %/ ( ( 1 ( ( ( % "# 344%%4 253333 #6#787 /0.' 9'# 86' 8" /0.' 9'# 86' (#"8'# Analyticity, Necessity and Belief Aspects of two-dimensional semantics Eric Johannesson c Eric Johannesson, Stockholm 2017 ISBN print 978-91-7649-776-0 ISBN PDF 978-91-7649-777-7 Printed by Universitetsservice US-AB, Stockholm 2017 Distributor: Department of Philosophy, Stockholm University Cover photo: the water at Petite Terre, Guadeloupe 2016 Contents Acknowledgments v 1 Introduction 1 2 Modal logic 7 2.1Introduction.......................... 7 2.2Basicmodallogic....................... 13 2.3Non-denotingterms..................... 21 2.4Chaptersummary...................... 23 3 Two-dimensionalism 25 3.1Introduction.......................... 25 3.2Basictemporallogic..................... 27 3.3 Adding the now operator.................. 29 3.4Addingtheactualityoperator................ 32 3.5 Descriptivism ......................... 34 3.6Theanalytic/syntheticdistinction............. 40 3.7 Descriptivist 2D-semantics .................. 42 3.8 Causal descriptivism ..................... 49 3.9Meta-semantictwo-dimensionalism............. 50 3.10Epistemictwo-dimensionalism................ 54 -
Three Notions of Dynamicness in Language∗
Three Notions of Dynamicness in Language∗ Daniel Rothschild† Seth Yalcin‡ [email protected] [email protected] June 7, 2016 Abstract We distinguish three ways that a theory of linguistic meaning and com- munication might be considered dynamic in character. We provide some examples of systems which are dynamic in some of these senses but not others. We suggest that separating these notions can help to clarify what is at issue in particular debates about dynamic versus static approaches within natural language semantics and pragmatics. In the seventies and early eighties, theorists like Karttunen, Stalnaker, Lewis, Kamp, and Heim began to `formalize pragmatics', in the process making the whole conversation or discourse itself the object of systematic formal investiga- tion (Karttunen[1969, 1974]; Stalnaker[1974, 1978]; Lewis[1979]; Kamp[1981]; Heim[1982]; see also Hamblin[1971], Gazdar[1979]). This development some- times gets called \the dynamic turn". Much of this work was motivated by a desire to model linguistic phenomena that seemed to involve a special sen- sitivity to the preceding discourse (with presupposition and anaphora looming especially large)|what we could loosely call dynamic phenomena. The work of Heim[1982] in particular showed the possibility of a theory of meaning which identified the meaning of a sentence with (not truth-conditions but) its potential to influence the state of the conversation. The advent of this kind of dynamic compositional semantics opened up a new question at the semantics-pragmatics interface: which seemingly dynamic phenomena are best handled within the compositional semantics (as in a dynamic semantics), and which are better modeled by appeal to a formal `dynamic pragmatics' understood as separable from, but perhaps interacting with, the compositional semantics? Versions of this question continue to be debated within core areas of semantic-pragmatic ∗The authors thank Jim Pryor and Lawerence Valby for essential conversations. -
Lecture 6. Dynamic Semantics, Presuppositions, and Context Change, II
Formal Semantics and Formal Pragmatics, Lecture 6 Formal Semantics and Formal Pragmatics, Lecture 6 Barbara H. Partee, MGU, April 10, 2009 p. 1 Barbara H. Partee, MGU, April 10, 2009 p. 2 Lecture 6. Dynamic Semantics, Presuppositions, and Context Change, II. DR (1) (incomplete) 1.! Kamp’s Discourse Representation Theory............................................................................................................ 1! u v 2.! File Change Semantics and the Anaphoric Theory of Definiteness: Heim Chapter III ........................................ 5! ! ! 2.1. Informative discourse and file-keeping. ........................................................................................................... 6! 2.2. Novelty and Familiarity..................................................................................................................................... 9! Pedro owns a donkey 2.3. Truth ................................................................................................................................................................ 10! u = Pedro 2.4. Conclusion: Motivation for the File Change Model of Semantics.................................................................. 10! u owns a donkey 3. Presuppositions and their parallels to anaphora ..................................................................................................... 11! donkey (v) 3.1. Background on presuppositions ..................................................................................................................... -
Lecture Notes on Dynamic Semantics
Lecture Notes on Dynamic Semantics 15-411: Compiler Design Frank Pfenning, Rob Simmons, Jan Hoffmann Lecture 14 October 10, 2017 1 Introduction In the previous lecture we specified the static semantics of a small imperative lan- guage. In this lecture we proceed to discuss its dynamic semantics, that is, how programs execute. The relationship between the dynamic semantics for a language and what a compiler actually implements is usually much less direct than for the static semantics. That’s because a compiler doesn’t actually run the program. In- stead, it translates it from some source language to a target language, and then the program in the target language is actually executed. In our context, the purpose of writing down the dynamic semantics is primarily to precisely specify how programs are supposed to execute. Previously, we defined how programs were supposed to execute either informally (“use left-to-right eval- uation”) or by explicitly specifying the way an elaborated AST is compiled into a lower-level language where effects are explicitly ordered. As our language be- comes more complex, it will become increasingly important to make our language specification formal in order to avoid the ambiguity inherent in informal descrip- tions. We could continue to define our dynamic semantics by compiling the language into a simpler form. (In fact, we are doing this to some degree, because we are defining our dynamic semantics in terms of the elaborated AST, which is a simplifi- cation of the concrete syntax. There is a trade-off here: the more work we do before defining the dynamic semantics, the harder it is too see the relationship between the original program and the program whose behavior we are defining.) Writing this down the dynamic semantics in terms of the source language, or something close to it, has a number of advantages.