Grouping Synonyms by Definitions

We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine readable dictionary for French, the TLFi (Tr\'esor de la langue fran\c{c}aise informatis\'e) and the synonyms are given by 5 synonym dictionaries (also for French). To evaluate the proposed method, we manually constructed a gold standard where for each (word, definition) pair and given the set of synonyms defined for that word by the 5 synonym dictionaries, 4 lexicographers specified the set of synonyms they judge adequate. While inter-annotator agreement ranges on that task from 67% to at best 88% depending on the annotator pair and on the synonym dictionary being considered, the automatic procedure we propose scores a precision of 67% and a recall of 71%. The proposed method is compared with related work namely, word sense disambiguation, synonym lexicon acquisition and WordNet construction

A Deflationary Account of Mental Representation

Among the cognitive capacities of evolved creatures is the capacity to represent. Theories in cognitive neuroscience typically explain our manifest representational capacities by positing internal representations, but there is little agreement about how these representations function, especially with the relatively recent proliferation of connectionist, dynamical, embodied, and enactive approaches to cognition. In this talk I sketch an account of the nature and function of representation in cognitive neuroscience that couples a realist construal of representational vehicles with a pragmatic account of mental content. I call the resulting package a deflationary account of mental representation and I argue that it avoids the problems that afflict competing accounts

The Nature and Function of Content in Computational Models

Much of computational cognitive science construes human cognitive capacities as representational capacities, or as involving representation in some way. Computational theories of vision, for example, typically posit structures that represent edges in the distal scene. Neurons are often said to represent elements of their receptive fields. Despite the ubiquity of representational talk in computational theorizing there is surprisingly little consensus about how such claims are to be understood. The point of this chapter is to sketch an account of the nature and function of representation in computational cognitive models

The Maay Maay Nominal System and Its Tonology

The aim of this thesis is to explore the tonology of the nominal system in Kenyan Maay Maay (KMM). In particular, this thesis describes the structure of nouns and noun phrases and outlines an analysis of tonal alternations based on a combination of word shape and grammatical gender that have not previously been discussed. The goal is to understand the nature of the language\u27s prosodic system and how it may have developed. This thesis complements research on other Maay dialects that report rather different prosodic properties, ranging from not having a tonal system (Comfort & Paster 2009; Paster 2006; Paster & Ranero 2015) to not exhibiting the type or number of alternations reported here (Saaed 1982, Biber 1982). In doing so, this thesis intends to situate KMM alongside the synchronic and diachronic prosodic behavior of other Maay varieties, as well as other Cushitic languages