Some Issues on Detecting Negation from Text

Total Page:16

File Type:pdf, Size:1020Kb

Some Issues on Detecting Negation from Text Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference Some Issues on Detecting Negation from Text Eduardo Blanco and Dan Moldovan Human Language Technology Research Institute The University of Texas at Dallas Richardson, TX 75080 USA {eduardo,moldovan}@hlt.utdallas.edu Abstract negative polarity items, determine their scope and reverse its polarity. Actually, it is much more problematic. Negation is present in all human languages and it is used to re- Negation plays a remarkable role towards understanding verse the polarity of parts of a statement. It is a complex phe- text and poses considerable challenges. Negation interacts nomenon that interacts with many other aspects of language. Besides the direct meaning, negated statements often carry a with many other phenomena and it is used for so many dif- latent positive meaning. Negation can be interpreted in terms ferent purposes that a deep analysis is needed. The following of its scope and focus. This paper explores the importance are some issues found when dealing with negation. of both scope and focus to capture the meaning of negated Detecting the scope of negation in itself is challenging: statements. Some issues on detecting negation from text are All vegetarians do not eat meat means that vegetarians do outlined, the forms in which negation occurs are depicted and not eat meat and yet All that glitters is not gold means that heuristics to detect its scope and focus are proposed. it is not the case that all that glitters is gold (so out of all things that glitter, some are gold and some are not). In the Introduction former example, the universal quantifier all has scope over the negation; in the latter, the negation has scope over all. Capturing the semantics of text is a long term goal in the In logic, two negatives always cancel each other out. On natural language processing community. Whereas philoso- the other hand, in language that is only theoretically the case: phers and linguists have proposed several theories, along she is not unhappy does not mean that she is happy; it means with models to represent the meaning of text, the field of that she is not fully unhappy, but she is not happy either. computational linguistics is still far from doing so automat- Some negated statements carry a positive implicit mean- ically. The ambiguity of natural language, the need to de- ing. For example, cows do not eat meat implies that cows eat tect implicit knowledge, and the demand for commonsense something other than meat. Otherwise, the speaker would knowledge and reasoning are only a few of the difficulties to have stated cows do not eat. A clearer example is the cor- overcome to understand text. We must say that significant rect and yet puzzling statement tables do not eat meat. The progress has been made, especially on detection of semantic sentence sounds unnatural because the underlying positive relations, ontologies and reasoning methods. statement (i.e., tables eat something other than meat) con- Negation is present in all languages and it is always tradicts the fact that tables do not eat. the case that statements are affirmative by default. Nega- Negation can express less than or in between when used in tion is marked and it typically signals something unusual a scalar context. For example, John does not have three chil- or an exception. It may be present in all units of lan- dren probably means that he has either one or two children. guage, e.g., words (incredible), clauses (He doesn’t have Contrasts may use negation to disagree about a statement friends). Negation and its correlates (truth values, lying, and not to negate it. For example, That truck is not big, it is irony, false or contradictory statements) are defining and massive defines the truck as massive, and therefore, big. exclusive characteristics of the human species (Horn 1989; In this paper, we investigate the significance of negation Horn and Kato 2000). Simply put, negation is a process that in semantic representation of natural language. We illus- turns parts of a statement into its opposite. trate the importance of detecting both its scope and focus Negation is fairly well-understood and described in gram- and propose a semantic representation that benefits from fo- mars; the valid ways to express a negation are formulated cus detection. and documented. However, there has not been much work on automatically detecting it, or more importantly, on repre- Related Work senting the semantics of negations from natural language. At first glance, negation might seem easy to deal with. Negation has been widely studied outside of computational One might think that the problem could be reduced to find linguistics. In logic, it is usually the simplest unary operator and it reverses the truth value. The seminal work on negation Copyright c 2011, Association for the Advancement of Artificial by Horn (1989) presents the main thoughts in philosophy Intelligence (www.aaai.org). All rights reserved. and psychology. We follow him in the next two paragraphs. 228 Two of the most basic philosophical laws put forth by 2009) annotates event mentions exclusively with their de- Aristotle are the Law of Contradiction (LC, it is impossible gree of factuality. to be and not be at the same time) and the Law of Excluded None of the above references aim at detecting or annotat- Middle (LEM, in every case we must either affirm or deny). ing the focus of negation in natural language. To the best of LEM is not always applicable to statements involving nega- our knowledge, researches have not yet targeted this topic. tion of scalar values (e.g., one can deny being cold and not being cold). Philosophers also realized that a negative state- Negation in Natural Language ment can have latent positive meaning, e.g. Socrates is not In this Section we follow Huddleston and Pullum (2002) to well implicitly states that Socrates is alive. describe the characteristics of negation in natural language Psychology has studied the constructs, usage and cogni- with a focus on English language. tive processing of negation. They note that negated state- Unlike affirmative statements, negation is marked by ments are not on equal footing with a positive statement; words (e.g., not, no, never) or affixes (e.g., -n’t, un-). Nega- they are a different and subordinate kind of statement. Actu- tion can interact with other words in special ways. For ally, there is evidence that children acquire negation later example, negated clauses use different connective adjuncts in life than the power to communicate. Psychology also than positive clauses do: neither, nor instead of either, or. confirms the intuitive thought that humans normally com- The so-called negatively-oriented polarity-sensitive items municate in positive terms and reserve negation mostly to (Huddleston and Pullum 2002) include, among many oth- describe unusual or unexpected situations. ers, words starting with any- (anybody, anyone, anywhere, Linguists have found negation a highly complex phe- etc.), the modal auxiliaries dare and need and the grammat- nomenon. The Cambridge Grammar of the English Lan- ical units at all, much and till. Negation in verbs usually guage (Huddleston and Pullum 2002) dedicates over 60 requires an auxiliary; if none is present, the auxiliary do is pages to negation, covering verbal (e.g., he doesn’t agree) inserted (I read the paper vs. I didn’t read the paper). and non-verbal (e.g., Not all of them agree), polarity items We can distinguish four contrasts for negation: (e.g., already, any) and multiple negation. Among oth- Verbal vs. Non-verbal. Verbal if the marker of negation ers, negation interacts with quantifiers and anaphora (Hin- is grammatically associated with the verb (e.g., I did not see tikka 2002). For example, the reference to They is eas- anything at all); non-verbal if it is associated with a depen- ier to solve in (1) than in (2): (1) Some of the students dent of the verb (e.g., I saw nothing at all). passed the exam. They must have studied hard; (2) Not all the students failed the examination. They must have stud- Analytics vs. Synthetic. Analytic if the negation is ied hard. Negation also influences reasoning (Dowty 1994; marked by words whose sole syntactic function is to mark Sanchez´ Valencia 1991). Zeijlstra (2007) analyzes the way negation (e.g. Bill did not go); synthetic if the words have different languages position and form negative elements as some other function as well (e.g., Nobody went to the meet- well as the interpretation of more than one negative element. ing). In the latter example, Nobody marks the negation and Within natural language processing, negation has drawn plays the role of AGENT. attention mainly in sentiment analysis (Wilson, Wiebe, and Clausal vs. Subclausal. Clausal if the negation yields a Hoffmann 2009) and the biomedical domain. The Negation negative clause (She didn’t have a large income); subclausal and Speculation in Natural Language Processing Workshop otherwise (She had a not inconsiderable income) (Morante and Sporleder 2010) targeted negation and specu- Ordinary vs. Metalinguistic. A negation is ordinary if it lation; most contributions specialize in the above subfields. indicates that something is not the case, e.g., (1) She didn’t The CoNLL-2010 Shared Task (Farkas et al. 2010) targeted have lunch with my old man: he couldn’t make it. On the the detection of hedges and their scope. Councill, McDon- other hand, a negation is metalinguistic if it does not dispute ald, and Velikovich (2010) created their own corpus to detect the truth but rather reformulates a statement, e.g., (2) She explicit negations and their scope in a supervised manner.
Recommended publications
  • A Type-Theoretical Analysis of Complex Verb Generation
    A Type-theoretical Analysis of Complex Verb Generation Satoshi Tojo Mitsubishi Research Institute, Inc. 2-22 Harumi 3, Chuo-ku Tokyo 104, Japan e-mail: [email protected], [email protected] Abstract hardly find a verb element in the target language, which corresponds with the original word exactly in Tense and aspect, together with mood and modality, meaning. However we also need to admit that the usually form the entangled structure of a complex verb. problem of knowledge representation of tense and as- They are often hard to translate by machines, because pect (namely time), or that of mood and modality is of both syntactic and semantic differences between lan- not only the problem of verb translation, but that of guages. This problem seriously affects upon the gen- the whole natural language understanding. In this pa- eration process because those verb components in in- per, in order to realize a type calculus in syntax, we terlingua are hardly rearranged correctly in the target depart from a rather mundane subset of tense, aspects, language. We propose here a method in which each and modMities, which will be argued in section 2. verb element is defined as a mathematical function ac- cording to its type of type theory. This formalism gives 1.2 The difference in the structure each element its legal position in the complex verb in the target language and certifies so-called partial trans- In the Japanese translation of (1): lation. In addition, the generation algorithm is totally oyoi-de-i-ta-rashii free from the stepwise calculation, and is available on parallel architecture.
    [Show full text]
  • Development of a General-Purpose Categorial Grammar Treebank
    Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 5195–5201 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC Development of a General-Purpose Categorial Grammar Treebank Yusuke Kubota, Koji Mineshima, Noritsugu Hayashi, Shinya Okano NINJAL, Ochanomizu University, The University of Tokyo, idem. f10-2 Midori-cho, Tachikawa; 2-2-1 Otsuka, Bunkyo; 3-8-1 Komaba, Megurog, Tokyo, Japan [email protected], [email protected], fhayashi, [email protected] Abstract This paper introduces ABC Treebank, a general-purpose categorial grammar (CG) treebank for Japanese. It is ‘general-purpose’ in the sense that it is not tailored to a specific variant of CG, but rather aims to offer a theory-neutral linguistic resource (as much as possible) which can be converted to different versions of CG (specifically, CCG and Type-Logical Grammar) relatively easily. In terms of linguistic analysis, it improves over the existing Japanese CG treebank (Japanese CCGBank) on the treatment of certain linguistic phenomena (passives, causatives, and control/raising predicates) for which the lexical specification of the syntactic information reflecting local dependencies turns out to be crucial. In this paper, we describe the underlying ‘theory’ dubbed ABC Grammar that is taken as a basis for our treebank, outline the general construction of the corpus, and report on some preliminary results applying the treebank in a semantic parsing system for generating logical representations of sentences. Keywords: treebank, categorial grammar, Japanese, annotation 1. Introduction Table 1: Comparison with related work original corpus output This paper reports on the progress of the construction of a H&S Penn Treebank English CCG general-purpose categorial grammar treebank in Japanese Uematsu et al.
    [Show full text]
  • Direct Compositionality and Variable-Free Semantics: the Case of “Principle B”
    Direct Compositionality and Variable-Free Semantics: The Case of “Principle B” Drafty outline/handout of material to be presented at the Workshop on Direct Compositionality Pauline Jacobson Brown University 0. The big picture goals: (A) To argue that direct compositionality is a much simpler hypothesis about the organization of the grammar than the competing views It is, therefore, the view we should hope is correct. Apparent challenges to this view should perhaps lead us to rethink some of the underlying assumptions which give rise to these challenges. (B) To point out: a consequence of at least a reasonably strong version of direct compositionality is that structured representations (e.g., trees) play no actual role in the grammar: they are not something that grammatical rules/principles can “see”. They are just convenient representation for the lnguist (representing the syntactic proof system and the compositional semantics) (C) To point out the consequences of this with respect to principles regarding the distribution of pronouns (reflexives, etc.). Standard assumption: these require the grammar to include principles which are stated on non strictly-local chucks of representation Hence: the hypothesis of direct compositionality should inspire us to rethink such statements (D) To discuss a second way in which binding principles have traditionally been taken to challenge direct compositionality (at least in its strong form): • there are many cases where there are binding type effects (e.g., "binding" of pronouns, "binding" of reflexives to satisfy Principle A, Principle B violations, etc.) but where on the surface, there is no big enough chunk of representation Typical example : connectivity in specificational sentences (1) What John is is proud of himself.
    [Show full text]
  • Chapter 1 Negation in a Cross-Linguistic Perspective
    Chapter 1 Negation in a cross-linguistic perspective 0. Chapter summary This chapter introduces the empirical scope of our study on the expression and interpretation of negation in natural language. We start with some background notions on negation in logic and language, and continue with a discussion of more linguistic issues concerning negation at the syntax-semantics interface. We zoom in on cross- linguistic variation, both in a synchronic perspective (typology) and in a diachronic perspective (language change). Besides expressions of propositional negation, this book analyzes the form and interpretation of indefinites in the scope of negation. This raises the issue of negative polarity and its relation to negative concord. We present the main facts, criteria, and proposals developed in the literature on this topic. The chapter closes with an overview of the book. We use Optimality Theory to account for the syntax and semantics of negation in a cross-linguistic perspective. This theoretical framework is introduced in Chapter 2. 1 Negation in logic and language The main aim of this book is to provide an account of the patterns of negation we find in natural language. The expression and interpretation of negation in natural language has long fascinated philosophers, logicians, and linguists. Horn’s (1989) Natural history of negation opens with the following statement: “All human systems of communication contain a representation of negation. No animal communication system includes negative utterances, and consequently, none possesses a means for assigning truth value, for lying, for irony, or for coping with false or contradictory statements.” A bit further on the first page, Horn states: “Despite the simplicity of the one-place connective of propositional logic ( ¬p is true if and only if p is not true) and of the laws of inference in which it participate (e.g.
    [Show full text]
  • 1 English Subjectless Tagged Sentences Paul Kay Department Of
    1 English subjectless tagged sentences Paul Kay Department of Linguistics University of California Berkeley, CA 94720 [email protected] 2 Abstract A colloquial English sentence like Fooled us, didn't they? contains a finite main verb but no expressed subject. The identity of the missing subject of fooled is recovered from the tag subject they: compare Fooled us, didn't she?, Fooled us, didn't you? This paper argues (1) that such subjectless tagged sentences (STSs) pose a problem for grammatical approaches based on movement and empty categories and (2) that STSs receive a revealing analysis as part of a finely articulated family of tagged sentence constructions when viewed within a non-derivational, constructional, multiple-inheritance-based approach.* *I would like to thank Peter Culicover, Liliane Haegeman, Charles Fillmore Andreas Kathol and Richard Oehrle for comments on previous versions of this paper, as well as an anonymous reviewer for Language. They have doubtless offered more good advice than I have accepted. 3 0. Introduction. It has been argued from several points of view that whatever can be done with empty categories (ecs) can be done without them (Ades and Steedman 1982, Gazdar et al. 1984, Kaplan and Zaenen 1989, Pollard and Sag 1994 chapter 9, Sag and Fodor 1994, Kay and Fillmore 1999, Sag 1999). It has also been argued that, because there is no hard evidence for their existence, linguistic theory would be better off dispensing with these unobservable entities (Pickering and Barry 1991, Sag and Fodor 1994, Sag 1999).1 The present paper purports to take the argument one step further by showing that there are things that can be done without empty categories that cannot be done with them, at least not with any of the ecs currently available.
    [Show full text]
  • Categorial Grammar and Lexical-Functional Grammar∗
    Categorial Grammar and Lexical-Functional Grammar¤ Reinhard Muskens Department of Linguistics Tilburg University The Netherlands Proceedings of the LFG01 Conference University of Hong Kong, Hong Kong Miriam Butt and Tracy Holloway King (Editors) 2001 CSLI Publications http://csli-publications.stanford.edu/ ¤I wish to thank the participants of LFG2001, especially Mary Dalrymple and Ron Kaplan, for valuable feedback. All comments are very welcome. Abstract This paper introduces ¸-grammar, a form of categorial grammar that has much in common with LFG. Like other forms of categorial grammar, ¸-grammars are multi-dimensional and their components are combined in a strictly parallel fashion. Grammatical representa- tions are combined with the help of linear combinators, closed pure ¸-terms in which each abstractor binds exactly one variable. Mathe- matically this is equivalent to employing linear logic, in use in LFG for semantic composition, but the method seems more practicable. While ¸-grammars could be used to formalize many approaches to grammatical theory, they are certainly natural as a basis for the formalization of LFG. This leads to a theory I would like to call ¸- LFG. In this paper it will be shown how the standard components of LFG can be set up in the framework. We will have descriptions of c-structure, descriptions of f-structure, and semantics. The di®erence between de¯ning and constraining information will be explained in terms of entailment, and requirements on long-distance paths in f- structure will be explained in terms of entailment in the presence of a simple set of axioms. 1 Introduction In this paper I want to discuss a version of Lexical-Functional Grammar (LFG) that is also a version of Categorial Grammar (CG).
    [Show full text]
  • The Categorial Fine-Structure of Natural Language
    1 The categorial fine-structure of natural language Johan van Benthem, Amsterdam & Stanford, March 2003 Abstract Categorial grammar analyzes linguistic syntax and semantics in terms of type theory and lambda calculus. A major attraction of this approach is its unifying power, as its basic function/ argument structures occur across the foundations of mathematics, language and computation. This paper considers, in a light example-based manner, where this elegant logical paradigm stands when confronted with the wear and tear of reality. Starting from a brief history of the Lambek tradition since the 1980s, we discuss three main issues: (a) the fit of the lambda calculus engine to characte- ristic semantic structures in natural language, (b) coexistence of the original type-theoretic and more recent modal interpretations of categorial logics, and (c) the place of categorial grammars in the total architecture of natural language, which involves mixtures of interpretation and inference. 1 From Montague Grammar to Categorial Grammar Logic and linguistics have had lively connections from Antiquity right until today (GAMUT 1991). A recurrent theme in this history is the categorial structure of language and ontology, from Aristotle's grammatical categories to Russell's theory of types in the foundations of mathematics. Further bridges were thrown as logic and linguistics developed, with Lambek 1958 as a major advance in sophistication, many years ahead of its time. Large-scale logical analysis of natural language really took off around 1970, thanks to Montague's work (Montague 1975, Partee 1997). This system connects linguistic structure and logical semantics in the following architecture. The pivotal deep structure are syntax trees formed by grammatical construction rules.
    [Show full text]
  • Chapter 3 Language Analysis and Understanding
    Chapter 3 Language Analysis and Understanding 3.1 Overview a b Annie Zaenen & Hans Uszkoreit a Rank Xerox ResearchCentre, Grenoble, France b Deutsches Forschungszentrum fur Kunstlic he Intelligenz and Universitat des Saarlandes, Saarbruc ken, Germany We understand larger textual units bycombining our understanding of smaller ones. The main aim of linguistic theory is to showhow these larger units of meaning arise out of the combination of the smaller ones. This is mo deled by means of a grammar. Computational linguistics then tries to implement this pro cess in an ecientway.Itis traditional to sub divide the task into syntax and semantics, where syntax describ es how the di erent formal elements of a textual unit, most often the sentence, can b e combined and semantics describ es how the interpretation is calculated. In most language technology applications the enco ded linguistic knowledge, i.e., the grammar, is separated from the pro cessing comp onents. The grammar consists of a lexicon, and rules that syntactically and semantically combine words and phrases into larger phrases and sentences. A variety of representation languages have b een develop ed for the enco ding of linguistic knowledge. Some of these languages are more geared towards conformity with formal linguistic theories, others are designed to facilitate certain pro cessing mo dels or sp ecialized applications. Several language technology pro ducts that are on the market to day employ annotated 109 110 Chapter 3: Language Analysis and Understanding phrase-structure grammars, grammars with several hundreds or thousands of rules describing di erent phrase typ es. Each of these rules is annotated by features and sometimes also by expressions in a programming language.
    [Show full text]
  • The Logic of Categorial Grammars: Lecture Notes Christian Retoré
    The Logic of Categorial Grammars: Lecture Notes Christian Retoré To cite this version: Christian Retoré. The Logic of Categorial Grammars: Lecture Notes. RR-5703, INRIA. 2005, pp.105. inria-00070313 HAL Id: inria-00070313 https://hal.inria.fr/inria-00070313 Submitted on 19 May 2006 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE The Logic of Categorial Grammars Lecture Notes Christian Retoré N° 5703 Septembre 2005 Thème SYM apport de recherche ISRN INRIA/RR--5703--FR+ENG ISSN 0249-6399 The Logic of Categorial Grammars Lecture Notes Christian Retoré ∗ Thème SYM — Systèmes symboliques Projet Signes Rapport de recherche n° 5703 — Septembre 2005 —105 pages Abstract: These lecture notes present categorial grammars as deductive systems, and include detailed proofs of their main properties. The first chapter deals with Ajdukiewicz and Bar-Hillel categorial grammars (AB grammars), their relation to context-free grammars and their learning algorithms. The second chapter is devoted to the Lambek calculus as a deductive system; the weak equivalence with context free grammars is proved; we also define the mapping from a syntactic analysis to a higher-order logical formula, which describes the seman- tics of the parsed sentence.
    [Show full text]
  • An Experimental Approach to Linguistic Representation
    BEHAVIORAL AND BRAIN SCIENCES (2017), Page 1 of 61 doi:10.1017/S0140525X16002028, e282 An experimental approach to linguistic representation Holly P. Branigan Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom [email protected] http://www.ed.ac.uk/profile/holly-branigan Martin J. Pickering Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom [email protected] http://www.ed.ac.uk/profile/martin-pickering Abstract: Within the cognitive sciences, most researchers assume that it is the job of linguists to investigate how language is represented, and that they do so largely by building theories based on explicit judgments about patterns of acceptability – whereas it is the task of psychologists to determine how language is processed, and that in doing so, they do not typically question the linguists’ representational assumptions. We challenge this division of labor by arguing that structural priming provides an implicit method of investigating linguistic representations that should end the current reliance on acceptability judgments. Moreover, structural priming has now reached sufficient methodological maturity to provide substantial evidence about such representations. We argue that evidence from speakers’ tendency to repeat their own and others’ structural choices supports a linguistic architecture involving a single shallow level of syntax connected to a semantic level containing information about quantification, thematic relations, and information structure, as well as to a phonological level. Many of the linguistic distinctions often used to support complex (or multilevel) syntactic structure are instead captured by semantics; however, the syntactic level includes some specification of “missing” elements that are not realized at the phonological level.
    [Show full text]
  • Categorial Grammars
    PART 8: CATEGORIAL GRAMMARS Categorial grammar. Adjukiewicz 1935, Bar-Hillel 1953 Bidirectional Categorial grammar: CATB is the smallest set such that: 1. CAT0 is a finite subset of CAT 2. If X, Y CAT then X/Y CAT and X\Y CAT Interpretation: if α X and β X\Y then αβ Y left-concatenation if α X/Y and β Y then αβ X right-concatenation Uni-directional Categorial grammar: CAT is the smallest set such that: 1. CAT0 is a finite subset of CAT 2. If X, Y CAT then X/Y CAT Interpretation: if α X/Y and β Y then αβ X right-concatenation Examples: Bi-directional: Assume basic categories: DP, N, S D = DP/N IV = DP\S TV = IV/DP ADJ = N/N P = (IV/IV)/DP P = (N/N)/DP Examples: IV = DP\S IV forms an S with an NP on its left TV = IV/DP TV forms an IV with an NP on its right Hence: If Ronya DP, and purrs DP\S then Ronya purrs S. Ronya + purrs Ronya purrs DP DP\S S strokes + Ronya strokes Ronya (DP\S)/DP DP (DP\S) Pat + strokes Ronya Pat strokes Ronya DP (DP\S) S 216 Uni-directional: Assume basic categories IV, N, S DP = S/IV D = DP/ N TV = IV/DP ADJ = N/N P = (IV/IV)/DP P = (N/N)/DP Hence: If Ronya S/IV, and purrs IV then Ronya purrs S. Ronya + purrs Ronya purrs S/IV IV S strokes + Ronya strokes Ronya IV/(S/IV) S/IV IV Pat + strokes Ronya Pat strokes Ronya S/IV IV S Fact: (Bar-Hillel et.
    [Show full text]
  • Introduction to Categorial Grammar
    ACS Syntax and Semantics of Natural Language Lecture 1: Introduction to Categorial Grammar Stephen Clark Natural Language and Information Processing (NLIP) Group [email protected] Categorial Grammar (CG) 2 • Main responsibility for defining syntactic form is in the lexicon • Hence CG is a lexicalized theory of grammar – along with other theories of grammar such as HPSG, TAG, LFG, ... • Attractive linguistically because all language-dependent properties re- side in the lexicon – small number of combination rules are language-invariant • Also attractive computationally; e.g. supertagging for Categorial Gram- mar leads to highly efficient parsing (Clark and Curran, 2007) Connection with Semantics 3 • Categorial Grammar has a strong commitment to Frege’s Principle of Compositionality (along with Montague from the 70s): • The meaning of a phrase is a function of the meanings of the parts of the phrase and how those parts are put together – mathematically often described as a homomorphism (structure-preserving mapping) between syntactic and semantic representations (more on this later ...) Contrast with Phrase-Structure Rules 4 • Early Chomskian approach and much work in Generative Grammar uses rewrite rules or productions (as in a Context Free Grammar): S → NP VP VP → TV NP TV → {likes, sees,... } • Categorial Grammar captures the same information by assigning a func- tional type, or category, to grammatical entities • Has roots in early work by Polish mathematician Ajdukiewicz (1935) and even earlier in Russel’s theory of types Lexical Categories 5 • An elementary syntactic structure – a lexical category – is assigned to each word in a sentence, eg: walked: S\NP ‘give me an NP to my left and I return a sentence’ • Think of the lexical category for a verb as a function: NP is the argu- ment, S the result, and the slash indicates the direction of the argument Lexical Categories 6 • Atomic categories: S, N , NP, PP, ..
    [Show full text]