For many years, it has been common-ground in semantics and in philosophy of language that semantics is in the business of providing a full explanation about how propositional meanings are obtained. This orthodox picture seems to be in trouble these days, as an increasing number of authors now hold that semantics does not deal with thought-contents. Some of these authors have embraced a “thin meanings” view, according to which lexical meanings are too schematic to enter propositional contents. I will suggest (...) that it is plausible to adopt thin semantics for a class of words. However, I’ll also hold that some classes of words, like kind terms, plausibly have richer lexical meanings, and so that an adequate theory of word meaning may have to combine thin and rich semantics. (shrink)

Jerry Fodor has argued that virtually all lexical concepts are innate. I argue against this position, but not, as other have done, on the grounds that the arguments against lexical decomposition upon which Fodor relies are flawed. Rather, I argue that even if lexical concepts cannot be decomposed, the possession conditions for having lexical concepts are nonetheless not innately satisfied.

This paper gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, and responds to Chomskys' dismissal of externalist semantics.

This thesis comprises three main chapters—each comprising one relatively standalone paper. The unifying theme is fragmentalism about truth, which is the view that the predicate “true” either expresses distinct concepts or expresses distinct properties. -/- In Chapter 1, I provide a formal development of alethic pluralism. Pluralism is the view that there are distinct truth properties associated with distinct domains of subject matter, where a truth property satisfies certain truth-characterizing principles. On behalf of pluralists, I propose an account of logic (...) and semantics that shows how they can answer central conceptual and logical challenges for their view. -/- In Chapter 2, I motivate and develop a modal account of propositions on the basis of an iterative conception of propositions, where the modality is logico-mathematical. The modal account of propositions takes the conception to motivate an inherently potential hierarchy of propositions. I show that the account helps provide satisfying solutions to the intensional paradoxes of Russell-Myhill, Kaplan, and Prior. -/- In Chapter 3, I propose that “true” is polysemous. I suggest that “true” is initially polysemous between correspondence truth and disquotational truth, and further polysemous between the meanings corresponding to the subconcepts of the concept truth generated by the indefinite extensibility of that concept. I show that the proposal provides satisfying solutions to the semantic paradoxes. (shrink)

Interdisciplinary investigations marry the methods and concerns of different fields. Computer science is the study of precise descriptions of finite processes; semantics is the study of meaning in language. Thus, computational semantics embraces any project that approaches the phenomenon of meaning by way of tasks that can be performed by following definite sets of mechanical instructions. So understood, computational semantics revels in applying semantics, by creating intelligent devices whose broader behavior fits the meanings of utterances, and not just their form. (...) IBM’s Watson (Ferrucci, Brown, Chu-Carroll, Fan, Gondek, Kalyanpur, Lally, Murdock, Nyberg, Prager, Schlaefer & Welty 2010) is a harbinger of the excitement and potential of this technology. (shrink)

Algorithms for NLG NLG is typically broken down into stages of discourse planning (to select information and organize it into coherent paragraphs), sentence planning (to choose words and structures to fit information into sentence-sized units), and realization (to determine surface form of output, including word order, morphology and final formatting or intonation). The SPUD system combines the generation steps of sentence planning and surface realization by using a lexicalized grammar to construct the syntax and semantics of a sentence simultaneously.

We argue that logical semantics might have faltered due to its failure in distinguishing between two fundamentally very different types of concepts: ontological concepts, that should be types in a strongly-typed ontology, and logical concepts, that are predicates corresponding to properties of and relations between objects of various ontological types. We will then show that accounting for these differences amounts to the integration of lexical and compositional semantics in one coherent framework, and to an embedding in our logical semantics of (...) a strongly-typed ontology that reflects our commonsense view of the world and the way we talk about it in ordinary language. We will show that in such a framework a number of challenges in natural language semantics can be adequately and systematically treated. (shrink)

Traditional approaches tend to regard figuration (and by extension, deference in general) as an essentially marked or playful use of language, which is associated with a pronounced stylistic effect. For linguistic purposes, however, there is no reason for assigning a special place to deferred uses that are stylistically notable — the sorts of usages that people sometimes qualify with a phrase like "figuratively speaking." There is no important linguistic difference between using redcoat to refer to a British soldier and using (...) suit to refer to a corporate executive (as in "A couple of suits stopped by to talk about the new products"). What creates the stylistic effect of the latter is not the mechanism that generates it, but the marked background assumptions that license it — here, the playful presupposition that.. (shrink)

The main goal of this paper is to show that there are many phenomena that pertain to the construction of truth-conditional compounds that follow characteristic patterns, and whose explanation requires appealing to knowledge structures organized in specific ways. We review a number of phenomena, ranging from non-homogenous modification and privative modification to polysemy and co-predication that indicate that knowledge structures do play a role in obtaining truth-conditions. After that, we show that several extant accounts that invoke rich lexical meanings to (...) explain such phenomena face problems related to inflexibility and lack of predictive power. We review different ways in which one might react to such problems as regards lexical meanings: go richer, go moderately richer, go thinner, and go moderately thinner. On the face of it, it looks like moderate positions are unstable, given the apparent lack of a clear cutoff point between the semantic and the conceptual, but also that a very thin view and a very rich view may turn out to be indistinguishable in the long run. As far as we can see, the most pressing open questions concern this last issue: can there be a principled semantic/world knowledge distinction? Where could it be drawn: at some upper level (e.g. enriched qualia structures) or at some basic level (e.g. constraints)? How do parsimony considerations affect these two different approaches? A thin meanings approach postulates intermediate representations whose role is not clear in the interpretive process, while a rich meanings approach to lexical meaning seems to duplicate representations: the same representations that are stored in the lexicon would form part of conceptual representations. Both types of parsimony problems would be solved by assuming a direct relation between word forms and (parts of) conceptual or world knowledge, leading to a view that has been attributed to Chomsky (e.g. by Katz 1980) in which there is just syntax and encyclopedic knowledge. (shrink)

In this work we will show the role of lexical resources in machine translation processes, giving several examples after a brief overview of Machine Translation studies. Then we will advocate the need for a richer lexicon in MT processes and sketch a methodology to obtain it through a mix of corpus-based and machine learning approaches.

This paper defends the view that common nouns have a dual semantic structure that includes extension-determining and non-extension-determining components. I argue that the non-extension-determining components are part of linguistic meaning because they play a key compositional role in certain constructions, especially in privative noun phrases such as "fake gun" and "counterfeit document". Furthermore, I show that if we modify the compositional interpretation rules in certain simple ways, this dual content account of noun phrase modification can be implemented in a type-driven (...) formal semantic framework. In addition, I also argue against traditional accounts of privative noun phrases which can be paired with the assumption that nouns do not have a dual semantic structure. At the most general level, this paper presents a proposal for how we can begin to integrate a psychologically realistic account of lexical semantics with a linguistically plausible compositional semantic framework. (shrink)

Many word forms in natural language are polysemous, but only some of them allow for co-predication, that is, they allow for simultaneous predications selecting for two different meanings or senses of a nominal in a sentence. In this paper, we try to explain (i) why some groups of senses allow co-predication and others do not, and (ii) how we interpret co-predicative sentences. The paper focuses on those groups of senses that allow co-predication in an especially robust and stable way. We (...) argue, using these cases, but focusing particularly on the multiply polysemous word ‘school’, that the senses involved in co-predication form especially robust activation packages, which allow hearers and readers to access all the different senses in interpretation. (shrink)

Finite-state descriptions for temporal semantics are outlined through which to distinguish soft inferences reflecting manners of conceptualization from more robust semantic entailments defined over models. Just what descriptions are built (before being interpreted model-theoretically) and how they are grounded in models of reality explain (upon examination) why some inferences are soft.

One of the most important and, at the same time, most controversial issues in metasemantics is the question of what semantics is, and what distinguishes semantic elements (features, properties, phenomena, mechanisms, processes, or whatever) from the rest. The issue is tightly linked with the debate over the semantics-pragmatics distinction, which has been vibrant for a decade or two, but seems to be reaching an impasse. I suggest that this impasse may be due to the failure to recognize a distinct realm (...) that should not be subsumed either under semantics or pragmatics, but may be labeled "prepragmatics". My ultimate goal is to put forward and defend a novel picture of our language architecture, according to which: semantic content is strictly poorer than the lexically encoded content (and therefore does not involve any contextually determined material - not even the reference of demonstratives); pragmatic mechanisms require being able to reason about one's beliefs and intentions and do not affect truth-conditions or truth-value; and, finally, there is a distinct prepragmatic level, which takes into account various kinds of contextual information and makes it possible to evaluate a sentence (as used on a particular occasion) for a truth value. I shall take as a case study, one of the "stumbling stones" in the semantics-pragmatics literature: the case of demonstrative reference. The upshot will be to show that if there is indeed room for a family of linguistic phenomena that are neither semantic nor yet fully pragmatic, the resolution of demonstrative reference is a candidate par excellence to belong there. (shrink)

A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of natural-language sentences that is designed to provide medically validated contexts for MWN terms. The corpus derives primarily from online health information sources targeted to consumers, and (...) involves two sub-corpora, called Medical FactNet (MFN) and Medical BeliefNet (MBN), respectively. The former consists of statements accredited as true on the basis of a rigorous process of validation, the latter of statements which non-experts believe to be true. We summarize the MWN / MFN / MBN project, and describe some of its applications. (shrink)

In the last two decades, WORDNET has evolved as the most comprehensive computational lexicon of general English. In this article, we discuss its potential for supporting the creation of an entirely new kind of information resource for public health, viz. MEDICAL WORDNET. This resource is not to be conceived merely as a lexical extension of the original WORDNET to medical terminology; indeed, there is already a considerable degree of overlap between WORDNET and the vocabulary of medicine. Instead, we propose a (...) new type of repository, consisting of three large collections of (1) medically relevant word forms, structured along the lines of the existing Princeton WORDNET; (2) medically validated propositions, referred to here as medical facts, which will constitute what we shall call MEDICAL FACTNET; and (3) propositions reflecting laypersons’ medical beliefs, which will constitute what we shall call the MEDICAL BELIEFNET. We introduce a methodology for setting up the MEDICAL WORDNET. We then turn to the discussion of research challenges that have to be met in order to build this new type of information resource. (shrink)

This paper has three modest aims: to present a puzzle, to show why some obvious solutions aren’t really “easy outs”, and to introduce our own solution. The puzzle is this. When it was small and had waterlogged streets, Toronto carried the moniker ‘Muddy York’. Later, the streets were drained, it grew, and Muddy York officially changed its name to ‘Toronto’. Given this, each premise in the following argument seems true. Yet the conclusion is a contraction.

In this paper, we contrast English and Greek resultative secondary predication, showing that Greek lacks the productive syntactic strategy which English employs. We propose that the difference in productivity should be attributed to properties of the morphology in the two languages (namely, to the differing productivity of certain verbal affixes). Finally, we give a compositional semantics for the complex event formation in the morphology/syntax that accounts for the contrasts between resultatives in English and Greek.