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30The comparative neuroprimatology 2018 (CNP-2018) road map for research on How the Brain Got LanguageInteraction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 19 (1-2): 370-387. 2018.We present a new road map for research on “How the Brain Got Language” that adopts an EvoDevoSocio perspective and highlights comparative neuroprimatology – the comparative study of brain, behavior and communication in extant monkeys and great apes – as providing a key grounding for hypotheses on the last common ancestor of humans and monkeys and chimpanzees and the processes which guided the evolution LCA-m → LCA-c → protohumans → H. sapiens. Such research constrains and is constrained by analy…Read more
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70The comparative neuroprimatology 2018 road map for research on How the Brain Got LanguageInteraction Studies 19 (1-2): 370-387. 2018.We present a new road map for research on “How the Brain Got Language” that adopts an EvoDevoSocio perspective and highlights comparative neuroprimatology – the comparative study of brain, behavior and communication in extant monkeys and great apes – as providing a key grounding for hypotheses on the last common ancestor of humans and monkeys and chimpanzees and the processes which guided the evolution LCA-m → LCA-c → protohumans → H. sapiens. Such research constrains and is constrained by analy…Read more
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8Neither neural networks nor the language-of-thought alone make a complete gameBehavioral and Brain Sciences 46. 2023.Cognitive science has evolved since early disputes between radical empiricism and radical nativism. The authors are reacting to the revival of radical empiricism spurred by recent successes in deep neural network (NN) models. We agree that language-like mental representations (language-of-thoughts [LoTs]) are part of the best game in town, but they cannot be understood independent of the other players.
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8Lexical knowledge representation and natural language processingArtificial Intelligence 63 (1-2): 193-223. 1993.
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23From actions to eventsInteraction Studies 19 (1-2): 289-317. 2018.In this paper, I argue that an important component of the language-ready brain is the ability to recognize and conceptualize events. By ‘event’, I mean any situation or activity in the world or our mental life, that we find salient enough to individuate as a thought or word. While this may sound either trivial or non-unique to humans, I hope to show that abstracting away events and their participants from the embodied flow of experience is a characteristic unique to humans. This ability is enabl…Read more
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38The Generative LexiconMIT Press. 1995.The Generative Lexicon presents a novel and exciting theory of lexical semantics that addresses the problem of the "multiplicity of word meaning" - that is, how ...
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26Lexical shadowing and argument closureIn Yael Ravin & Claudia Leacock (eds.), Polysemy: Theoretical and Computational Approaches, Oxford University Press. pp. 68--90. 2000.
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11The Language of Time: A Reader (edited book)Oxford University Press UK. 2005.This reader collects and introduces important work in linguistics, computer science, artificial intelligence, and computational linguistics on the use of linguistic devices in natural languages to situate events in time: whether they are past, present, or future; whether they are real or hypothetical; when an event might have occurred, and how long it could have lasted. In focussing on the treatment and retrieval of time-based information it seeks to lay the foundation for temporally-aware natur…Read more
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376Lexical semantics: the problem of polysemy (edited book)Oxford University Press. 1997.Lexical ambiguity presents one of the most intractable problems for language processing studies and, not surprisingly, it is at the core of research in lexical semantics. Originally published as two special issues of the Journal of Semantics, this collection focuses on the problem of polysemy, from the point of view of practitioners of computational linguistics.
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48The syntax of event structureIn Beth Levin & Steven Pinker (eds.), Lexical & Conceptual Semantics, Blackwell. pp. 47-81. 1992.
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Formal Ontology and Lexical SemanticsIn Nicola Guarino (ed.), Formal Ontology in Information Systems, Ios Press. pp. 98. 1998.
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33Type construction and the logic of conceptsIn Pierrette Bouillon & Federica Busa (eds.), The Language of Word Meaning, Cambridge University Press. pp. 91123. 2001.
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6Events as Grammatical Objects: The Converging Perspectives of Lexical Semantics, Logical Semantics and SyntaxCenter for the Study of Language and Information Publications. 2000.Research in lexical semantics, logical semantics, and syntax has demonstrated a growing recognition that the grammars of natural languages structure and refer to events in particular ways. This convergence on events as grammatical objects cross these disciplines is the motivation for this volume, which brings together researchers from the areas of lexical semantics, logical semantics, and syntax specifically to address the topic of event structure. Lexical semantics and logical semantics are two…Read more
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1Linguistic constraints on type coercionIn Patrick Saint-Dizier & Evelyne Viegas (eds.), Computational Lexical Semantics, Cambridge University Press. pp. 71--97. 1995.
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Brandeis UniversityRegular Faculty
Waltham, Massachusetts, United States of America